Learning
"๐ฅIntroduction to Generative AI: https://www.edureka.co/introduction-generative-ai?
๐ฅGoogle I/O 2024, the annual developer conference held by Google, delivered a multitude of groundbreaking announcements and innovative advancements that are set to shape the future of technology. Held virtually and in-person, this year's event was a blend of immersive experiences, keynote presentations, and hands-on demos that captivated the global tech community. Do watch this video to know the key highlights from Google I/O 2024.
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00:00 - Google I/O 2024
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01:36 - GOOGLE WORKSPACE WITH GEMINI 1.5 Pro
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02:14 - GOOGLE PHOTOS
โ
03:24 - AI AGENTS
โ
03:41 - PROJECT ASTRA
โ
04:31 - Gemini 1.5 Flash
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05:03 - VEO
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05:16 - Google Search with AI
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05:56 - Gems in Gemini 1.5 pro
โ
06:25 - AI IN ANDROID
โ
06:47 - Gemma Open Models
โ
07:14 - Responsible AI
"
"โ
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๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ
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What is Generative AI?
Generative AI is a branch of artificial intelligence that focuses on producing or creating fresh content, such as images, text, audio, or even videos, that closely resembles data generated by humans. In contrast to conventional AI models that learn to identify patterns or make decisions based on existing data (discriminative models), generative AI models are trained to produce new data that mirrors the original training data.
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What is Prompt Engineering?โ
Prompt engineering involves optimizing artificial intelligence engineering for multiple purposes. It includes refining large language models (LLMs) using specific prompts and recommended outputs. Additionally, it focuses on enhancing input to different generative AI services to make text or images. With advancements in generative AI tools, prompt engineering becomes crucial for generating diverse content, such as robotic process automation bots, 3D assets, scripts, robot instructions, and various digital artifacts.
How can I get started with Generative AI?
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To get started with Introduction to Generative AI, you can:
Enroll in the Introduction to Generative AI Learning Path course.
Read research papers and books on Generative AI.
Experiment with open-source code repositories and frameworks.
Join online communities and forums to learn from others and seek advice.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free)."
![Top ChatGPT Applications | ChatGPT for [Writing Code] [Code Debugging] [Content Writing] | Edureka](https://i.ytimg.com/vi/XALO9KIB8KQ/maxresdefault.jpg)
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ก๐๐ญ๐๐๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ - ๐๐๐ ๐ข๐ง๐ง๐๐ซ๐ฌ ๐ญ๐จ ๐๐๐ฏ๐๐ง๐๐๐: https://www.edureka.co/openai-....chatgpt-training-cou
This Edureka video on ๐๐ก๐๐ญ๐๐๐ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ will talk about multiple use cases where you can use ChatGPT. There are several day to day applications where you can leverage ChatGPT to do the job for you. Below are some important ChatGPT applications covered in this ChatGPT tutorial:
00:00:00 Introduction
00:00:50 ChatGPT for Writing Code
00:02:25 ChatGPT for Code Debugging
00:03:37 ChatGPT for Content Writing
00:05:03 ChatGPT for SEO
00:06:18 ChatGPT for Language Translation
00:07:01 ChatGPT for Writing Legal Documents
00:08:11 ChatGPT for College Assignments
00:08:37 ChatGPT to make Workout Schedule
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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐จ๐ฎ๐ซ๐ฌ๐ (๐๐ฌ๐ ๐๐จ๐๐: ๐๐๐๐๐๐๐๐๐) : https://www.edureka.co/advance....d-artificial-intelli
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.
00:00:00 Introduction
00:00:36 Agenda
00:00:47 Introduction to NLP
00:01:46 Ways to Process Text Data
00:02:57 Recurrent Neural Networks
00:22:02 Long Short-term Memory
00:51:46 LSTM Use Cases
00:53:45 Real Time Applications of LSTM
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๐ฅEdureka Tensorflow Training: https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.
๐นCheck our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
๐นCheck our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
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#Edureka #DeepLearningEdureka #LSTMExplained #NeuralNetworks #DeepLearningTraining #DeepearningTutorial #EdurekaTraining
How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
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About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple โHello Wordโ example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
- - - - - - - - - - - - - -
Who should go for this course?
The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies
However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.
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Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
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๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ก๐๐ญ๐๐๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ - ๐๐๐ ๐ข๐ง๐ง๐๐ซ๐ฌ ๐ญ๐จ ๐๐๐ฏ๐๐ง๐๐๐: https://www.edureka.co/openai-....chatgpt-training-cou
This ๐๐ก๐๐ญ๐๐๐ ๐๐ฎ๐ญ๐จ๐ซ๐ข๐๐ฅ is intended as a Crash Course on ๐๐ก๐๐ญ๐๐๐ for Beginners. ๐๐ก๐๐ญ๐๐๐ has been growing in popularity exponentially. But, ๐๐ก๐๐ญ๐๐๐ is still not known to many people. In this video, I aim to show you the different ways in which you can use ๐๐ก๐๐ญ๐๐๐ for yourself.
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๐ Python Developer Masters Program : https://bit.ly/3EV6kDv
๐ต Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH
๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ข๐ฏ๐๐ซ๐ฌ๐ข๐ญ๐ฒ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ
๐ Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
๐ต Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh
๐๐๐๐ฅ๐๐ ๐ซ๐๐ฆ: https://t.me/edurekaupdates
๐๐๐ฐ๐ข๐ญ๐ญ๐๐ซ: https://twitter.com/edurekain
๐๐๐ข๐ง๐ค๐๐๐๐ง: https://www.linkedin.com/company/edureka
๐๐๐ง๐ฌ๐ญ๐๐ ๐ซ๐๐ฆ: https://www.instagram.com/edureka_learning/
๐๐
๐๐๐๐๐จ๐จ๐ค: https://www.facebook.com/edurekaIN/
๐๐๐ฅ๐ข๐๐๐๐ก๐๐ซ๐: https://www.slideshare.net/EdurekaIN
๐๐๐๐ฌ๐ญ๐๐จ๐ฑ: https://castbox.fm/networks/505?country=IN
๐๐๐๐๐ญ๐ฎ๐ฉ: https://www.meetup.com/edureka/
๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
๐ฅEdureka Tensorflow Training (Use Code "๐๐๐๐๐๐๐๐๐"):
https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka "๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ซ๐ฌ ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ ๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง๐๐" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.
๐นCheck our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
๐นCheck our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
๐ดDo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
00:00 Introduction
00:41 Introduction to Deep Learning
04:48 NLP Using RNN
06:16 Scaling up NLP Task
08:13 Transformers Walk Through
10:16 Top Language Models
๐๐๐๐ฅ๐๐ ๐ซ๐๐ฆ: https://t.me/edurekaupdates
๐๐๐ฐ๐ข๐ญ๐ญ๐๐ซ: https://twitter.com/edurekain
๐๐๐ข๐ง๐ค๐๐๐๐ง: https://www.linkedin.com/company/edureka
๐๐๐ง๐ฌ๐ญ๐๐ ๐ซ๐๐ฆ: https://www.instagram.com/edureka_learning/
๐๐
๐๐๐๐๐จ๐จ๐ค: https://www.facebook.com/edurekaIN/
๐๐๐ฅ๐ข๐๐๐๐ก๐๐ซ๐: https://www.slideshare.net/EdurekaIN
๐๐๐๐ฌ๐ญ๐๐จ๐ฑ: https://castbox.fm/networks/505?country=IN
๐๐๐๐๐ญ๐ฎ๐ฉ: https://www.meetup.com/edureka/
๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models
#Edureka #EdurekaDeepLearning #Transformersxplained #TransformerNeuralNetworks #DeepLearningLanguageModels #DeepearningTutorial #EdurekaTraining
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง---------
๐ต DevOps Online Training: http://bit.ly/3qqcotZ
๐ Python Online Training: http://bit.ly/3i7DiDD
๐ต AWS Online Training: http://bit.ly/39EOIv9
๐ RPA Online Training: http://bit.ly/39t6MrE
๐ต Data Science Online Training: http://bit.ly/3bywuOu
๐ Big Data Online Training: http://bit.ly/35ADG8L
๐ต Java Online Training: http://bit.ly/35Avwxb
๐ Selenium Online Training: http://bit.ly/2Ltn4ZE
๐ต PMP Online Training: http://bit.ly/2LMP3mT
๐ Tableau Online Training: http://bit.ly/38z4oR9
๐ต Microsoft Azure Online Training: https://bit.ly/3wsAhV4
๐ Power BI Online Training: https://bit.ly/3zq1WHX
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฌ๐ญ๐๐ซ๐ฌ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ---------
๐ต DevOps Engineer Masters Program: http://bit.ly/2MY1OMc
๐ Cloud Architect Masters Program: http://bit.ly/2MY1OMc
๐ต Data Scientist Masters Program: http://bit.ly/3qaVZJA
๐ Big Data Architect Masters Program: http://bit.ly/3qaVZJA
๐ต Machine Learning Engineer Masters Program: http://bit.ly/3bxAhLG
๐ Business Intelligence Masters Program: http://bit.ly/3byBhiS
๐ต Python Developer Masters Program: http://bit.ly/3nw4Rb2
๐ RPA Developer Masters Program: http://bit.ly/3nw4Rb2
----------------------------------
How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple โHello Wordโ example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
- - - - - - - - - - - - - -
Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
- - - - - - - - - - - - - -
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
๐ฅEdureka Deep Learning Training - TensorFlow Certification:- https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka video on the "GPT-3 Explained" will help you understand why and what is GPT 3 Language Model, followed by its Use cases and limitations. Following Pointers are covered in this GPT-3 explained video:
00:00:00 Introduction
00:00:57 Introduction to GPT
00:02:50 Practical Applications of GPT Deep Learning Model
00:04:54 Datasets and Parameters used in GPT 3
00:06:44 Limitations of GPT Algorithm
00:08:14 How you can use GPT
๐นCheck our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
๐นCheck our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
---------------------------------------------------------------------------------------------------------
๐ดDo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
Edureka Community: https://bit.ly/EdurekaCommunity
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Telegram: https://t.me/edurekaupdates
SlideShare: https://www.slideshare.net/EdurekaIN
Meetup: https://www.meetup.com/edureka/
#Edureka #EdurekaTensorFlow #GPT3 #Tensorflowtutorial #tensorflow2.0 #TensorFlowTraining #Edureka #EdurekaTraining
--------------------------
How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple โHello Wordโ example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
- - - - - - - - - - - - - -
Who should go for this course?
The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies
However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775
๐ฅ Prompt Engineering Course: https://www.edureka.co/prompt-....engineering-generati
This informative video on Prompt Engineering for Code Generation will help you understand prompt engineering for code generation, its principles, and a few practical questions. Gain insights into how prompt engineering for code generation is shaping various industries and staying ahead in the dynamic field of artificial intelligence. In this informative video of Prompt Engineering For Code Generation, we will cover essential topics such as:
โ
00:00 - Introduction
โ
00:58 - Prompt engineering for code generation
โ
01:32 - Principles of Prompt Engineer
โ
05:15 - Prompt engineering for coding practical examples
โ
Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
๐Feel free to share your comments below.๐
๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ
๐ต Data Science Training Masters Program: https://bitly.ws/37Ehr
๐ Data Science with Python Certification Course: https://bitly.ws/37EhS
๐ต Data Science with R Programming Certification Training Course : https://bitly.ws/37Eki
๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฅ๐-๐๐๐ฌ๐๐ ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ
๐ต DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
๐ Cloud Architect Masters Program: http://bit.ly/3OvueZy
๐ต Data Scientist Masters Program: http://bit.ly/3tUAOiT
๐ Big Data Architect Masters Program: http://bit.ly/3tTWT0V
๐ต Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
๐ Business Intelligence Masters Program: http://bit.ly/3UZPqJz
๐ต Python Developer Masters Program: http://bit.ly/3EV6kDv
๐ RPA Developer Masters Program: http://bit.ly/3OteYfP
๐ต Web Development Masters Program: http://bit.ly/3U9R5va
๐ Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
๐ต Cyber Security Masters Program: http://bit.ly/3U25rNR
๐ Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
๐ต Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
๐ Python Developer Masters Program : https://bit.ly/3EV6kDv
๐ต Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH
๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ข๐ฏ๐๐ซ๐ฌ๐ข๐ญ๐ฒ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ
๐ต Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
๐ Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh
๐ต Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8
๐๐๐๐ฅ๐๐ ๐ซ๐๐ฆ: https://t.me/edurekaupdates
๐๐๐ฐ๐ข๐ญ๐ญ๐๐ซ: https://twitter.com/edurekain
๐๐๐ข๐ง๐ค๐๐๐๐ง: https://www.linkedin.com/company/edureka
๐๐๐ง๐ฌ๐ญ๐๐ ๐ซ๐๐ฆ: https://www.instagram.com/edureka_learning/
๐๐
๐๐๐๐๐จ๐จ๐ค: https://www.facebook.com/edurekaIN/
๐๐๐ฅ๐ข๐๐๐๐ก๐๐ซ๐: https://www.slideshare.net/EdurekaIN
๐๐๐๐ฌ๐ญ๐๐จ๐ฑ: https://castbox.fm/networks/505?country=IN
๐๐๐๐๐ญ๐ฎ๐ฉ: https://www.meetup.com/edureka/
๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
- - - - - - - - - - - - - -
About Prompt Engineering Course
A streamlined curriculum covering fundamental engineering concepts in physics, electronics, and mathematics is provided by the Prompt Engineering Course. Through projects and assessments, it places a strong emphasis on experiential learning, preparing students for careers in entry-level engineering or for further study.
- - - - - - - - - - - - - -
Who should go for this course?
The Prompt Engineering Course is appropriate for people who want to work in engineering or related fields and need a structured introduction to basic ideas and practical experience. It serves both novices and those seeking to reinforce their grasp of fundamental engineering concepts.
- - - - - - - - - - - - - -
What are the Prerequisites for this course?
Although there are no formal prerequisites for the Prompt Engineering Course, it usually helps to have a basic understanding of mathematics and physics. It is intended for people who want to learn the fundamentals of engineering in order to pursue careers or further education in engineering-related fields.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free).
#edureka #edurekatraining #promptengineer #code generation #prompt #promptcodegeneration #edurekacourse"
๐ฅEdureka Tensorflow Training: https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka LSTM Explained video will help you in understanding why we need Recurrent Neural Networks (RNN) and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using LSTMs.
๐นCheck our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
๐นCheck our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
00:00:00 Agenda
00:02:37 What is Natural Language Processing
00:04:00 Ways to Process Text Data
00:05:46 Recurrent Neural Networks
00:12:26 Long short term Memory
00:17:06 Long short term memory use cases
00:18:06 Real time applications of LSTM
00:18:09 Name Entity Recognition
00:20:45 Sentiment Analysis
00:22:40 Machine Translation
00:24:32 Hands-on
๐ดDo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
Edureka Community: https://bit.ly/EdurekaCommunity
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Telegram: https://t.me/edurekaupdates
SlideShare: https://www.slideshare.net/EdurekaIN
Meetup: https://www.meetup.com/edureka/
#Edureka #DeepLearningEdureka #LSTMExplained #NeuralNetworks #DeepLearningTraining #DeepearningTutorial #EdurekaTraining
---------------------------------------Edureka Post Graduate Courses-------------------------------------------
๐ต Artificial and Machine Learning PGD: https://bit.ly/3AylL0q
How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple โHello Wordโ example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
- - - - - - - - - - - - - -
Who should go for this course?
The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies
However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.
- - - - - - - - - - - - - -
Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
๐ฅEdureka Tensorflow Training (Use Code "๐๐๐๐๐๐๐๐๐"):
https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka "๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ซ๐ฌ ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ ๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง๐๐" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.
๐นCheck our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
๐นCheck our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
๐ดDo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
00:00 Introduction
00:41 Introduction to Deep Learning
04:48 NLP Using RNN
06:16 Scaling up NLP Task
08:13 Transformers Walk Through
10:16 Top Language Models
๐๐๐๐ฅ๐๐ ๐ซ๐๐ฆ: https://t.me/edurekaupdates
๐๐๐ฐ๐ข๐ญ๐ญ๐๐ซ: https://twitter.com/edurekain
๐๐๐ข๐ง๐ค๐๐๐๐ง: https://www.linkedin.com/company/edureka
๐๐๐ง๐ฌ๐ญ๐๐ ๐ซ๐๐ฆ: https://www.instagram.com/edureka_learning/
๐๐
๐๐๐๐๐จ๐จ๐ค: https://www.facebook.com/edurekaIN/
๐๐๐ฅ๐ข๐๐๐๐ก๐๐ซ๐: https://www.slideshare.net/EdurekaIN
๐๐๐๐ฌ๐ญ๐๐จ๐ฑ: https://castbox.fm/networks/505?country=IN
๐๐๐๐๐ญ๐ฎ๐ฉ: https://www.meetup.com/edureka/
๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models
#Edureka #EdurekaDeepLearning #Transformersxplained #TransformerNeuralNetworks #DeepLearningLanguageModels #DeepearningTutorial #EdurekaTraining
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง---------
๐ต DevOps Online Training: http://bit.ly/3qqcotZ
๐ Python Online Training: http://bit.ly/3i7DiDD
๐ต AWS Online Training: http://bit.ly/39EOIv9
๐ RPA Online Training: http://bit.ly/39t6MrE
๐ต Data Science Online Training: http://bit.ly/3bywuOu
๐ Big Data Online Training: http://bit.ly/35ADG8L
๐ต Java Online Training: http://bit.ly/35Avwxb
๐ Selenium Online Training: http://bit.ly/2Ltn4ZE
๐ต PMP Online Training: http://bit.ly/2LMP3mT
๐ Tableau Online Training: http://bit.ly/38z4oR9
๐ต Microsoft Azure Online Training: https://bit.ly/3wsAhV4
๐ Power BI Online Training: https://bit.ly/3zq1WHX
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฌ๐ญ๐๐ซ๐ฌ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ---------
๐ต DevOps Engineer Masters Program: http://bit.ly/2MY1OMc
๐ Cloud Architect Masters Program: http://bit.ly/2MY1OMc
๐ต Data Scientist Masters Program: http://bit.ly/3qaVZJA
๐ Big Data Architect Masters Program: http://bit.ly/3qaVZJA
๐ต Machine Learning Engineer Masters Program: http://bit.ly/3bxAhLG
๐ Business Intelligence Masters Program: http://bit.ly/3byBhiS
๐ต Python Developer Masters Program: http://bit.ly/3nw4Rb2
๐ RPA Developer Masters Program: http://bit.ly/3nw4Rb2
----------------------------------
How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple โHello Wordโ example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
- - - - - - - - - - - - - -
Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
- - - - - - - - - - - - - -
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ ๐ฐ๐ข๐ญ๐ก ๐๐๐ง๐ฌ๐จ๐ซ๐๐ฅ๐จ๐ฐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง: https://www.edureka.co/ai-deep....-learning-with-tenso (๐๐ฌ๐ ๐๐จ๐๐: ๐๐๐๐๐๐๐๐๐)
This Edureka "๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ซ๐ฌ ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ ๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง๐๐" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.
00:00:00 Agenda
00:01:28 Introduction to Deep Learning
00:08:24 What is Deep Learning
00:13:02 NLP using RNN
00:15:59 Scaling up NLP task
00:16:49 Transformers Walkthrough
00:19:51 Top Language Models
๐ด Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
๐Feel free to share your comments below.๐
๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ
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๐ต React Online Training: http://bit.ly/3Vc4yDw
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๐ต Power BI Online Training: http://bit.ly/3VntjMY
๐ Selenium Online Training: http://bit.ly/3EVDtis
๐ต PMP Online Training: http://bit.ly/3XugO44
๐ Salesforce Online Training: http://bit.ly/3OsAXDH
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๐ Microservices Online Training: http://bit.ly/3gxYqqv
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๐ CEHv12 Online Training: http://bit.ly/3Vhq8Hj
๐ต Angular Online Training: http://bit.ly/3EYcCTe
๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฅ๐-๐๐๐ฌ๐๐ ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ
๐ต DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
๐ Cloud Architect Masters Program: http://bit.ly/3OvueZy
๐ต Data Scientist Masters Program: http://bit.ly/3tUAOiT
๐ Big Data Architect Masters Program: http://bit.ly/3tTWT0V
๐ต Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
๐ Business Intelligence Masters Program: http://bit.ly/3UZPqJz
๐ต Python Developer Masters Program: http://bit.ly/3EV6kDv
๐ RPA Developer Masters Program: http://bit.ly/3OteYfP
๐ต Web Development Masters Program: http://bit.ly/3U9R5va
๐ Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
๐ต Cyber Security Masters Program: http://bit.ly/3U25rNR
๐ Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
๐ต Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
๐ Python Developer Masters Program : https://bit.ly/3EV6kDv
๐ต Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH
๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ข๐ฏ๐๐ซ๐ฌ๐ข๐ญ๐ฒ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ
๐ Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
๐ต Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh
๐๐๐๐ฅ๐๐ ๐ซ๐๐ฆ: https://t.me/edurekaupdates
๐๐๐ฐ๐ข๐ญ๐ญ๐๐ซ: https://twitter.com/edurekain
๐๐๐ข๐ง๐ค๐๐๐๐ง: https://www.linkedin.com/company/edureka
๐๐๐ง๐ฌ๐ญ๐๐ ๐ซ๐๐ฆ: https://www.instagram.com/edureka_learning/
๐๐
๐๐๐๐๐จ๐จ๐ค: https://www.facebook.com/edurekaIN/
๐๐๐ฅ๐ข๐๐๐๐ก๐๐ซ๐: https://www.slideshare.net/EdurekaIN
๐๐๐๐ฌ๐ญ๐๐จ๐ฑ: https://castbox.fm/networks/505?country=IN
๐๐๐๐๐ญ๐ฎ๐ฉ: https://www.meetup.com/edureka/
๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
๐ฅEdureka Tensorflow Training (Use Code "๐๐๐๐๐๐๐๐๐"):
https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka "๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ซ๐ฌ ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ ๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง๐๐" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.
๐นCheck our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
๐นCheck our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
๐ดDo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
00:00 Introduction
00:41 Introduction to Deep Learning
04:48 NLP Using RNN
06:16 Scaling up NLP Task
08:13 Transformers Walk Through
10:16 Top Language Models
๐๐๐๐ฅ๐๐ ๐ซ๐๐ฆ: https://t.me/edurekaupdates
๐๐๐ฐ๐ข๐ญ๐ญ๐๐ซ: https://twitter.com/edurekain
๐๐๐ข๐ง๐ค๐๐๐๐ง: https://www.linkedin.com/company/edureka
๐๐๐ง๐ฌ๐ญ๐๐ ๐ซ๐๐ฆ: https://www.instagram.com/edureka_learning/
๐๐
๐๐๐๐๐จ๐จ๐ค: https://www.facebook.com/edurekaIN/
๐๐๐ฅ๐ข๐๐๐๐ก๐๐ซ๐: https://www.slideshare.net/EdurekaIN
๐๐๐๐ฌ๐ญ๐๐จ๐ฑ: https://castbox.fm/networks/505?country=IN
๐๐๐๐๐ญ๐ฎ๐ฉ: https://www.meetup.com/edureka/
๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models
#Edureka #EdurekaDeepLearning #Transformersxplained #TransformerNeuralNetworks #DeepLearningLanguageModels #DeepearningTutorial #EdurekaTraining
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง---------
๐ต DevOps Online Training: http://bit.ly/3qqcotZ
๐ Python Online Training: http://bit.ly/3i7DiDD
๐ต AWS Online Training: http://bit.ly/39EOIv9
๐ RPA Online Training: http://bit.ly/39t6MrE
๐ต Data Science Online Training: http://bit.ly/3bywuOu
๐ Big Data Online Training: http://bit.ly/35ADG8L
๐ต Java Online Training: http://bit.ly/35Avwxb
๐ Selenium Online Training: http://bit.ly/2Ltn4ZE
๐ต PMP Online Training: http://bit.ly/2LMP3mT
๐ Tableau Online Training: http://bit.ly/38z4oR9
๐ต Microsoft Azure Online Training: https://bit.ly/3wsAhV4
๐ Power BI Online Training: https://bit.ly/3zq1WHX
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฌ๐ญ๐๐ซ๐ฌ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ---------
๐ต DevOps Engineer Masters Program: http://bit.ly/2MY1OMc
๐ Cloud Architect Masters Program: http://bit.ly/2MY1OMc
๐ต Data Scientist Masters Program: http://bit.ly/3qaVZJA
๐ Big Data Architect Masters Program: http://bit.ly/3qaVZJA
๐ต Machine Learning Engineer Masters Program: http://bit.ly/3bxAhLG
๐ Business Intelligence Masters Program: http://bit.ly/3byBhiS
๐ต Python Developer Masters Program: http://bit.ly/3nw4Rb2
๐ RPA Developer Masters Program: http://bit.ly/3nw4Rb2
----------------------------------
How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple โHello Wordโ example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
- - - - - - - - - - - - - -
Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
- - - - - - - - - - - - - -
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
๐ฅEdureka Tensorflow Training (Use Code "๐๐๐๐๐๐๐๐๐"):
https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka "๐๐ซ๐๐ง๐ฌ๐๐จ๐ซ๐ฆ๐๐ซ๐ฌ ๐๐๐ฎ๐ซ๐๐ฅ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ ๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง๐๐" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.
๐นCheck our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
๐นCheck our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
๐ดDo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
๐๐๐๐ฅ๐๐ ๐ซ๐๐ฆ: https://t.me/edurekaupdates
๐๐๐ฐ๐ข๐ญ๐ญ๐๐ซ: https://twitter.com/edurekain
๐๐๐ข๐ง๐ค๐๐๐๐ง: https://www.linkedin.com/company/edureka
๐๐๐ง๐ฌ๐ญ๐๐ ๐ซ๐๐ฆ: https://www.instagram.com/edureka_learning/
๐๐
๐๐๐๐๐จ๐จ๐ค: https://www.facebook.com/edurekaIN/
๐๐๐ฅ๐ข๐๐๐๐ก๐๐ซ๐: https://www.slideshare.net/EdurekaIN
๐๐๐๐ฌ๐ญ๐๐จ๐ฑ: https://castbox.fm/networks/505?country=IN
๐๐๐๐๐ญ๐ฎ๐ฉ: https://www.meetup.com/edureka/
๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models
#Edureka #EdurekaDeepLearning #Transformersxplained #TransformerNeuralNetworks #DeepLearningLanguageModels #DeepearningTutorial #EdurekaTraining
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง---------
๐ต DevOps Online Training: http://bit.ly/3qqcotZ
๐ Python Online Training: http://bit.ly/3i7DiDD
๐ต AWS Online Training: http://bit.ly/39EOIv9
๐ RPA Online Training: http://bit.ly/39t6MrE
๐ต Data Science Online Training: http://bit.ly/3bywuOu
๐ Big Data Online Training: http://bit.ly/35ADG8L
๐ต Java Online Training: http://bit.ly/35Avwxb
๐ Selenium Online Training: http://bit.ly/2Ltn4ZE
๐ต PMP Online Training: http://bit.ly/2LMP3mT
๐ Tableau Online Training: http://bit.ly/38z4oR9
๐ต Microsoft Azure Online Training: https://bit.ly/3wsAhV4
๐ Power BI Online Training: https://bit.ly/3zq1WHX
---------๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฌ๐ญ๐๐ซ๐ฌ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ---------
๐ต DevOps Engineer Masters Program: http://bit.ly/2MY1OMc
๐ Cloud Architect Masters Program: http://bit.ly/2MY1OMc
๐ต Data Scientist Masters Program: http://bit.ly/3qaVZJA
๐ Big Data Architect Masters Program: http://bit.ly/3qaVZJA
๐ต Machine Learning Engineer Masters Program: http://bit.ly/3bxAhLG
๐ Business Intelligence Masters Program: http://bit.ly/3byBhiS
๐ต Python Developer Masters Program: http://bit.ly/3nw4Rb2
๐ RPA Developer Masters Program: http://bit.ly/3nw4Rb2
----------------------------------
How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple โHello Wordโ example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
- - - - - - - - - - - - - -
Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
- - - - - - - - - - - - - -
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
๐ฅ Generative AI Course Masters Program: https://www.edureka.co/masters....-program/generative-
In this video on โwhat is generative AIโ, we'll explore concepts like technologies applying advanced algorithms such as generative adversarial networks and autoencoders to analyze data and produce novel images, sounds, and media based on identified patterns. Discover why generative AI has become so important for artists, designers, researchers, and creators in many different fields. It introduces viewers to the platform's accessibility and functionality, highlighting how individuals can interact with it to produce their own distinctive creations. We'll explore the reasons behind its growing popularity and how it's changing the way people work and create. Learn about the journey of generative AI, where the evolution from its beginnings to the latest advancements. See how this technology has grown and changed over time, and what's coming next.
โ
00:00 - Introduction To Generative AI
โ
01:32 - Large Language Model (LLM)
โ
03:04 - Application of Generative AI
โ
06:53 - Why Generative AI?
โ
07:41 - Models of Generative AI
โ
09:38 - Evolution of Generative AI
โ
Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
๐Feel free to share your comments below.๐
๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ
๐ต DevOps Online Training: http://bit.ly/3VkBRUT
๐ AWS Online Training: http://bit.ly/3ADYwDY
๐ต React Online Training: http://bit.ly/3Vc4yDw
๐ Tableau Online Training: http://bit.ly/3guTe6J
๐ต Power BI Online Training: http://bit.ly/3VntjMY
๐ Selenium Online Training: http://bit.ly/3EVDtis
๐ต PMP Online Training: http://bit.ly/3XugO44
๐ Salesforce Online Training: http://bit.ly/3OsAXDH
๐ต Cybersecurity Online Training: http://bit.ly/3tXgw8t
๐ Java Online Training: http://bit.ly/3tRxghg
๐ต Big Data Online Training: http://bit.ly/3EvUqP5
๐ RPA Online Training: http://bit.ly/3GFHKYB
๐ต Python Online Training: http://bit.ly/3Oubt8M
๐ Azure Online Training: http://bit.ly/3i4P85F
๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฅ๐-๐๐๐ฌ๐๐ ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ
๐ต DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
๐ Cloud Architect Masters Program: http://bit.ly/3OvueZy
๐ต Data Scientist Masters Program: http://bit.ly/3tUAOiT
๐ Big Data Architect Masters Program: http://bit.ly/3tTWT0V
๐ต Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
๐ Business Intelligence Masters Program: http://bit.ly/3UZPqJz
๐ต Python Developer Masters Program: http://bit.ly/3EV6kDv
๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ข๐ฏ๐๐ซ๐ฌ๐ข๐ญ๐ฒ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฌ
๐ต Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
๐ Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh
๐ต Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8
๐๐๐๐ฅ๐๐ ๐ซ๐๐ฆ: https://t.me/edurekaupdates
๐๐๐ฐ๐ข๐ญ๐ญ๐๐ซ: https://twitter.com/edurekain
๐๐๐ข๐ง๐ค๐๐๐๐ง: https://www.linkedin.com/company/edureka
๐๐๐ง๐ฌ๐ญ๐๐ ๐ซ๐๐ฆ: https://www.instagram.com/edureka_learning/
๐๐
๐๐๐๐๐จ๐จ๐ค: https://www.facebook.com/edurekaIN/
๐๐๐ฅ๐ข๐๐๐๐ก๐๐ซ๐: https://www.slideshare.net/EdurekaIN
๐๐๐๐ฌ๐ญ๐๐จ๐ฑ: https://castbox.fm/networks/505?country=IN
๐๐๐๐๐ญ๐ฎ๐ฉ: https://www.meetup.com/edureka/
๐๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: https://www.edureka.co/community/
- - - - - - - - - - - - - -
Introduction of Generative AI?
Generative AI helps to create new artificial content or data that includes Images, Videos, Music, or even 3D models without any effort required by humans.*GAI provides and generates the needed for text ,videos,audios and other data using generative models often to stimuli. Thatโs how it makes all the human life more simplifying and directing. It aids in creative endeavors by generating ideas, designs, and content across various domains.
Why Generative AI?
Generative AI enhances decision-making processes by providing valuable insights, augmenting data analysis, and enabling scenario simulations. By generating diverse and realistic options, generative AI helps decision-makers explore alternative strategies, assess potential outcomes, and make informed choices and also they are the major economic growth.
Models of Generative AI?
Their primary function is to understand and capture the underlying patterns or distributions from a given set of data. Once these patterns are learned, the model can then generate new data that shares similar characteristics with the original dataset. Generative AI also has models that are used to improve the quality of the datasets and a additional information to the original dataset but which is not previously seen. The models are made and generated by the data that is trained with the use of main AI algorithms with allow to train the data and synthesis the new characteristic.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free)."
For years, the likes of Google and OpenAI have been racing to build ever bigger and costlier AI models using a tremendous amount of online data - think chatbots like ChatGPT, which can handle a wide range of complex queries. But some startups are now betting on a different strategy: small language models, automating a more limited set of day-to-day corporate tasks without requiring as much data. Bloomberg's Rachel Metz joins Ed Ludlow to discuss on "Bloomberg Technology."
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๐ฅEdureka AWS Training: https://www.edureka.co/aws-certification-training
This Edureka video on "Deploy an ML Model using Amazon Sagemaker" discusses what is Amazon Sagemaker and how you can build, train and deploy your Machine Learning Models in Amazon Sagemaker. These are the topics covered in the AWS Machine Learning Tutorial video:
00:00:00 Introduction
00:01:14 What is Amazon Sagemaker?
00:04:21 Create your AWS Account
00:06:46 Create your First Notebook Instance
00:17:39 Train your Model on AWS
00:24:37 Deploy your Model on AWS
00:26:33 Evaluate your Model on AWS
00:29:03 AWS SageMaker Case Study: Grammarly
๐นCheck Edureka's complete DevOps playlist here: http://goo.gl/O2vo13
๐นCheck Edureka's Blog playlist here: https://bit.ly/3gfNuZr
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#Edureka #DeployAnMlModelUsingAmazonSagemaker #AWSTutorial #AWSCertification #AWSTraining #AWSMachineLearning #AWSMLDeployment #MachineLearningOnCloud #CloudComputing #AWS
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How it Works?
1. This is a 5 Week Instructor led Online Course.
2. Course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project
3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
AWS Architect Certification Training from Edureka is designed to provide in depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services.
During this AWS Architect Online training, you'll learn:
1. AWS Architecture and different models of Cloud Computing
2. Compute Services: Amazon EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk
3. Amazon Storage Services : EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway
4. Database Services: RDS, DynamoDB, ElastiCache, RedShift
5. Security and Identity Services: IAM, KMS
6. Networking Services: Amazon VPC, Route 53, Direct Connect
7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
8. Application Services: SES, SNS, SQS
Course Objectives
On completion of the AWS Architect Certification training, learner will be able to:
1. Design and deploy scalable, highly available, and fault tolerant systems on AWS
2. Understand lift and shift of an existing on-premises application to AWS
3. Ingress and egress of data to and from AWS
4. Identifying appropriate use of AWS architectural best practices
5. Estimating AWS costs and identifying cost control mechanisms
Pre-requisites
There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required.
If you are looking for live online training, write back to us at [email protected] or call us at US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.
