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🔥Edureka 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.
00:00 Introduction
00:36 Agenda
00:47 Introduction to NLP
01:46 Ways to Process Text Data
02:57 Recurrent Neural Networks
22:02 Long Short-term Memory
51:46 LSTM Use Cases
53:45 Real Time Applications of LSTM
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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 “Hello Word” 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.
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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.
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#ai #artificialintelligence #chatgpt #midjourney #llm #largelanguagemodels #largelanguagemodel
This is a short and very simple video I created to explain some of the concepts that go into large language models like Chat-GPT4. It covers various aspects of LLM artificial intelligence like foundations, architecture, pre-training, fine-tuning, tokenization, embeddings, self-attention, positional encoding, layers and headers, and decoding. The text was created with the use of chat gpt4. All of the images were created using Midjourney AI based on the text.
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : 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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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 is intended as a Crash Course on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for Beginners. 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 has been growing in popularity exponentially. But, 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 is still not known to many people. In this video, I aim to show you the different ways in which you can use 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for yourself.
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬
🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬
🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
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🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
This Edureka "Convolutional Neural Network Tutorial" video (Blog: https://goo.gl/4zxMfU) will help you in understanding what is Convolutional Neural Network and how it works. It also includes a use-case, in which we will be creating a classifier using TensorFlow.
📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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The recent interest in AI as meant a lot of people have been encountering new vocabulary. Martin Keen is to help you sort it out. This video runs through key terms like machine learning, deep learning, foundation models, and large language models and how they're related to each other.
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) :https://www.edureka.co/microso....ft-certified-azure-s
The "Azure Architect Full Course" provides a thorough overview of essential Azure topics, including computing, networking, storage, security, and more. This Full Course is designed for aspiring Azure architects and provides practical insights into building scalable and secure solutions on the Microsoft Azure cloud platform.
00:00:00 Introduction
00:02:53 What is Azure?
00:14:07 Quiz
00:14:29 How To Create Azure Free Account?
00:20:07 Introduction to Azure Portal
00:35:07 Microsoft Azure Demo
01:09:04 Azure Virtual Machine
01:30:50 Quiz
01:31:14 Microsoft Azure Storage Overview
02:14:21 Azure Active Directory
02:41:18 Azure Load Balancer
03:14:44 Quiz
03:15:06 Azure Firewall
03:44:45 Quiz
03:45:06 Azure App Service
04:02:31 Quiz
04:03:03 Azure Database Services
04:33:49 Azure Data Factory
05:05:14 Quiz
05:05:37 Azure Databricks
05:39:02 Quiz
05:39:24 Azure Data Lake
05:54:05 Quiz
05:54:28 Azure Machine Learning
06:20:54 Introduction To Azure Kubernetes Service (AKS)
07:10:40 ARM Templates
07:38:57 Introduction to Azure IoT
07:57:18 What is Azure Service Bus?
08:54:26 AI on Microsoft Azure
09:07:00 Azure Certifications
09:17:17 How to become an Azure Data Engineer?
09:41:50 Azure Interview Questions And Answers
📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
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This Video on Cloud Computing Full course by simplilearn will help you learn the basics of cloud computing. this Simplilearn video is a complete tutorial for cloud computing engineers. It begins with an introduction to cloud computing, followed by a detailed explanation of AWS and its features. Next, you'll explore a roadmap to becoming a cloud engineer, along with insights into cloud security. The video also covers cloud service models and a comparison of AWS vs. Azure. Moving ahead, you'll find exciting cloud computing project ideas to enhance your portfolio. Lastly, the video discusses essential cloud computing certifications to help you advance your career. This comprehensive tutorial is designed to equip you with the skills and knowledge needed to excel in the field of cloud computing.
00:00:00 Introduction to Cloud Computing
00:05:23 What is Cloud Computing
00:10:15 What is AWS?
00:19:36 How to become Cloud Engineer
03:20:20 Cloud Computing Tutorial
03:26:51 What is Cloud Security
08:14:18 Cloud Computing Service Models
08:24:35 AWS Vs Azure
08:25:20 Cloud Computing Project ideas
08:40:13 Cloud Computing Certifications
✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
➡️ Click here to watch more cloud computing tutorials from Simplilearn: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU
#cloudcomputing #cloudcomputingforbeginners #cloudcomputingcourse #aws #amazonwebservices #simplilearn #2024
➡️ About AWS Cloud Practitioner Course
AWS Cloud Practitioner course is for individuals seeking an overall understanding of Amazon Web Services Cloud, independent of specific technical roles. To build AWS Cloud knowledge, you will learn about AWS Cloud concepts, services, security, architecture and support. This course also helps prepare for the AWS Certified Cloud Practitioner exam. Providers: Microsoft Azure, AWS, and GCP.
Key Features
✅ Official AWS live class training content
✅ Self-paced learning videos authored by AWS
✅ Live online training from AWS Authorized Instructors
✅ 1-day Instructor-Led Training Course for accelerated learning
Skills Covered
✅ AWS Cloud Adoption Framework
✅ AWS Global Infrastructure
✅ AWS data migration solutions
✅ Storage and databases
✅ AWS IAM security levels
✅ AWS Compute Services
✅ Amazon Cloud
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Learning Path
✅ Lesson 01: Introduction to Amazon Web Services
✅ Lesson 02: Compute in the Cloud
✅ Lesson 03: Global Infrastructure and Reliability
✅ Lesson 04: Networking
✅ Lesson 05: Storage and Databases
✅ Lesson 06: Security
✅ Lesson 07: Monitoring and Analytics
✅ Lesson 08: Pricing and Support
✅ Lesson 09: Migration and Innovation
✅ Lesson 10: AWS Certified Cloud Practitioner Basics
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This video is a friendly introduction to quantum computing and machine learning. No knowledge required.
This video is part of a blog post with Zapata computing:
https://www.zapatacomputing.co....m/why-generative-mod
QCBM Paper: https://www.nature.com/articles/s41534-019-0157-8
Video 2: Non-gradient optimizers, CMA-ES and PSO https://www.youtube.com/watch?v=oi5GQvJzy5I
Video 3: The mathematics behind qubits (coming soon!)
Introduction: (0:00)
Quantum and classical machine learning: (1.46)
Probability: (5:12)
The qubit: (8:23)
Quantum measurement: (12:08)
Qubits as generative models: (13:42)
Measuring with different bases: (14:15)
Quantum gates: (22:27)
Quantum entanglement: (25:23)
Entanglement gates: (35:31)
Quantum machine learning (36:04)
Training models: (39:50)
Loss functions and KL divergence: (47:55)
Labs, code, etc: (49:59)
A video about decision trees, and how to train them on a simple example.
Accompanying blog post: https://medium.com/@luis.serra....no/splitting-data-by
For a code implementation, check out this repo:
https://github.com/luisguiserr....ano/manning/tree/mas
Helper videos:
- Gini index: https://www.youtube.com/watch?v=u4IxOk2ijSs
- Entropy and information gain: https://www.youtube.com/watch?v=9r7FIXEAGvs
- Machine learning error and metrics: https://www.youtube.com/watch?v=aDW44NPhNw0
Grokking Machine Learning book:
www.manning.com/books/grokking-machine-learning
40% discount code: serranoyt
Dr. Raj Dandekar (MIT PhD) conducted a 7-hour small language model workshop. This is part 1 of that workshop.
In this, we cover the following four aspects:
1. 00:00 Introduction to SLM
2. 40:15 Dataset loading
3. 53:36 Tokenization
4. 01:24:42 Creating input-output pairs
If you want to get access to the detailed lecture notes, register here: https://vizuara.ai/courses/bui....ld-slm-from-scratch-
This video covers about Small Language Models with a cast study
⏱ Chapter Timestamps
====================
00:00 - Intro
00:28 - What is Small Language Model
02:31 - Need for SLMs?
03:00 - Case Study: Offline Applications
05:06 - SLMs in the market
Join this channel by contributing to the community:
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📌 Related Links
=============
🔗CoPilot+PCs - https://www.youtube.com/watch?v=5JmkWJNng2I
📌 Related Playlist
================
🔗 AI Primer Playlist - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
🔗Spring Boot Primer - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
🔗Spring Cloud Primer - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
🔗Spring Microservices Primer - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
🔗Spring JPA Primer - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
🔗Java 8 Streams - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
🔗Spring Security Primer - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
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🎬 Video Editing: FCP
---------------------------------------------------------------
🔥 Disclaimer/Policy:
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#SmallLanguageModel #LLMs #RAG
The Qwen3 family of thinking large language models has just been released and the smallest model in the family is just 523MB! But what can such a small model do? Is it just an academic exercise or is it actually useful? Let's find out.
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Use code David ;)
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Subscribe if you're serious about AI.
This is the ultimate guide about AI Agents.
www.vectal.ai
Ready to become a certified watsonx Generative AI Engineer? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdnZTF
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Can a drone deliver packages safely and efficiently? 🤖 Martin Keen breaks down the 5 types of AI agents—from reflex to learning models—and their role in robotics, decision-making, and automation. Learn how goal-driven and utility-based AI adapt to workflows and complex environments.
Intro - 0:00
Simple Reflex Agent - 0:50
Model-Based Reflex Agent - 2:49
Goal-Based AI Agent - 4:20
Utility Based AI Agent- 5:43
Learning AI Agent - 6:55
Use Cases - 8:22
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdnZTX
#aiagents #machinelearning #ai
Thanks to Microsoft for sponsoring this video! Submit your #CodingWithCopilot story for a chance to be featured in an upcoming video!
In this video, you'll learn how to build an AI agent
from scratch in Python. I'll walk you through everything step-by-step. This will be very beginner friendly,
and you'll learn how to make something quite interesting in Python
with some popular frameworks like LangChain. I'll show you how to use various
LLMs like Claude or GPT, how you can give the agent access to various tools, and how you can structure the output of the agent
so you can use it in your code.
🎞 Video Resources 🎞
Code in this video: https://github.com/techwithtim..../PythonAIAgentFromSc
Learn Python Virtual Environments: https://www.youtube.com/watch?v=Y21OR1OPC9A
Get Your Anthropic API Key: https://console.anthropic.com/settings/keys
Get Your OpenAI API Key: https://platform.openai.com/api-keys
⏳ Timestamps ⏳
00:00 | Overview
00:35 | Agent Demo
01:38 | Setup/Requirements
06:53 | Basic Code Setup/Imports
08:37 | Using Claude or GPT
10:00 | Getting Your API Key
11:32 | Basic LLM Functionality
12:43 | Structured Output/Models
15:42 | Prompt Templates
17:33 | Creating & Running the Agent
21:00 | Output Parsing
23:39 | Adding Prebuilt Tools
30:48 | Custom Tool Calling
Hashtags
#CodingWithCopilot #Sponsored
