If deep neural networks are so powerful, why aren’t they used more often? The reason is that they are very difficult to train due to an issue known as the vanishing gradient.

Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv

To train a neural network over a large set of labelled data, you must continuously compute the difference between the network’s predicted output and the actual output. This difference is called the cost, and the process for training a net is known as backpropagation, or backprop. During backprop, weights and biases are tweaked slightly until the lowest possible cost is achieved. An important aspect of this process is the gradient, which is a measure of how much the cost changes with respect to a change in a weight or bias value.

Backprop suffers from a fundamental problem known as the vanishing gradient. During training, the gradient decreases in value back through the net. Because higher gradient values lead to faster training, the layers closest to the input layer take the longest to train. Unfortunately, these initial layers are responsible for detecting the simple patterns in the data, while the later layers help to combine the simple patterns into complex patterns. Without properly detecting simple patterns, a deep net will not have the building blocks necessary to handle the complexity. This problem is the equivalent of to trying to build a house without the proper foundation.

Have you ever had this difficulty while using backpropagation? Please comment and let me know your thoughts.

So what causes the gradient to decay back through the net? Backprop, as the name suggests, requires the gradient to be calculated first at the output layer, then backwards across the net to the first hidden layer. Each time the gradient is calculated, the net must compute the product of all the previous gradients up to that point. Since all the gradients are fractions between 0 and 1 – and the product of fractions in this range results in a smaller fraction – the gradient continues to shrink.

For example, if the first two gradients are one fourth and one third, then the next gradient would be one fourth of one third, which is one twelfth. The following gradient would be one twelfth of one fourth, which is one forty-eighth, and so on. Since the layers near the input layer receive the smallest gradients, the net would take a very long time to train. As a subsequent result, the overall accuracy would suffer.

Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal

NVIDIA announced its new CPU today, a collaboration with ARM yielding the "Grace" CPU. The company is also releasing new RTX GPUs (the A4000, A5000, A6000).
Sponsor: Buy Corsair's 5000D Airflow Case on Amazon (https://geni.us/cnVP60)

We're already half-way through our initial new GN 'Volt' Large Modmat inventory. Grab one on the store if you want it this round: https://store.gamersnexus.net/....products/modmat-volt
You can also pick up an Original Modmat (also in stock & shipping) on the store: https://store.gamersnexus.net/products/modmat

NVIDIA's GTC 2021 conference saw the unveil of a series of new GPUs for professionals and data center applications, but all of these were overshadowed by NVIDIA's renewed interest in the CPU space. NVIDIA has been trying to purchase ARM since 2020 (currently pending regulatory approval), and in the meantime, the two organizations are working together to produce the new NVIDIA Grace CPU for data center and server applications. The NVIDIA Grace CPU aims to improve bandwidth of CPU-to-GPU communications and CPU-to-CPU communications, outperforming traditional PCIe signaling with NVIDIA's NVLink.

The GPUs announced are part of the former Quadro line, branding that NVIDIA is slowly moving away from. The A5000 and A4000 GPUs are in the high-end of Ampere RTX cards, with mobile versions also available in Max-Q laptops.

Separately from all of this, NVIDIA talked more about its Omniverse software and a few RTX games, including Black Myth: Wukong, Boundary, Narak: Bladepoint, and Bright Memory. Cyberpunk also got a comically short pseudo-reference.

Like our content? Please consider becoming our Patron to support us: http://www.patreon.com/gamersnexus

TIMESTAMPS

00:00 - NVIDIA GTC 2021 Announcements
01:03 - NVIDIA's New "Grace" ARM CPU
05:11 - New GPUs from NVIDIA: A4000, A5000
10:51 - A10, A16, & Omniverse

** Please like, comment, and subscribe for more! **

Links to Amazon and Newegg are typically monetized on our channel (affiliate links) and may return a commission of sales to us from the retailer. This is unrelated to the product manufacturer. Any advertisements or sponsorships are disclosed within the video ("this video is brought to you by") and above the fold in the description. We do not ever produce paid content or "sponsored content" (meaning that the content is our idea and is not funded externally aside from whatever ad placement is in the beginning) and we do not ever charge manufacturers for coverage.

Follow us in these locations for more gaming and hardware updates:

t: http://www.twitter.com/gamersnexus
f: http://www.facebook.com/gamersnexus
w: http://www.gamersnexus.net/

Editorial, Host: Steve Burke
Editorial: Patrick Lathan
Video: Andrew Coleman

🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=QuantumComputingScribe-X8MZWCGgIb8&utm_medium=Descriptionff&utm_source=youtube
🔥Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=QuantumComputingScribe-X8MZWCGgIb8&utm_medium=Descriptionff&utm_source=youtube

Please share your feedback below and don't forget to take the quiz at 03:32! Comment below what you think is the right answer.

This video on Quantum Computing gives you an overview of the underlying technology of Quantum Computing. This video will help you understand its difference from other classic computers or Supercomputers. A conventional digital computer manipulates bits of value "0" or "1" to execute data processing operations.
This video will also take you through companies currently adopting and implementing Quantum Computing and will let you explore how it is used in different industries and firms and what future it holds for itself.

🔥Explore Our Free Courses With Completion Certificate by SkillUp: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=QuantumComputingScribe&utm_medium=Description&utm_source=youtube

To learn more about various technologies, subscribe to our YouTube channel: https://www.youtube.com/user/S....implilearn?sub_confi

#QuantumComputing #QuantumComputingExplained #WhatIsQuantumComputing #QuamtumComputingForBeginners #QuantumComputer #QuantumComputerExplained #WhatIsQuantumComputer #QuantumComputerForBeginners #Simplilearn

About Simplilearn Artificial Intelligence course:
Simplilearns’ Introduction to Artificial Intelligence course is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics. You’ll learn the difference between supervised, unsupervised and reinforcement learning; be exposed to use cases, and see how clustering and classification algorithms help identify AI business applications.

What are the career benefits of this Introduction to AI course?
Artificial intelligence has become a powerful driving force in a wide range of industries, helping people and businesses create exciting, innovative products and services, enable more informed business decisions, and achieve key performance goals. The median salary of an AI engineer in the US is $171,715(Source: Datamation).

What are the course objectives?
The Introduction to Artificial Intelligence course will give you a look at the booming field of AI and show you how AI can help drive business value. The course covers basic concepts, terminologies, scope and stages of artificial intelligence and their effect on real-world business processes.

What skills will you learn from this Introduction to Artificial Intelligence course?
Upon completion of this course, you will understand:
1. The meaning, purpose, scope, stages, applications and effects of AI
2. Fundamental concepts of machine learning and deep learning
3. The difference between supervised, semi-supervised and unsupervised learning
4. Machine Learning workflow and how to implement the steps effectively
5. The role of performance metrics and how to identify their key methods

Who should take this Introduction to Artificial Intelligence course?
Simplilearn’s Introduction to Artificial Intelligence imparts the basic concepts and principles of Artificial Intelligence to learners. The course caters to CxO level and middle management professionals who want to improve their ability to derive business value and ROI from AI and machine learning. This Artificial Intelligence Introduction course does not require programming or IT background, making it well-suited for the following audience:
1. Developers aspiring to be an artificial intelligence engineer or machine learning engineer
2. Analytics managers who are leading a team of analysts
3. Information architects who want to gain expertise in AI algorithms
4. Analytics professionals who want to work in machine learning or artificial intelligence
5. Graduates looking to build a career in artificial intelligence or machine learning

Learn more at: https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=QuantumComputingScribe&utm_medium=Description&utm_source=youtube

For more updates on courses and tips follow us on:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn/
- Instagram: https://www.instagram.com/simplilearn_elearning
- Telegram Mobile: https://t.me/simplilearnupdates

Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

🔥 Caltech Data Analytics Bootcamp: https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=DataAnalyticsFCAug22&utm_medium=DescriptionFirstFold&utm_source=youtube


Data analytics has been rapidly growing, with companies looking to generate insights and drive their business with the help of data. In this Data Analytics Full Course video, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications. You will then understand a case study and analyze data using Python and R. In addition, we will see the top 10 data analysis tools and understand the difference between a data scientist and a data analyst. Finally, we’ll see the top interview questions to help you crack a data analyst interview.

🔥 Enroll for FREE Data Analytics Course & Get your Completion Certificate: https://www.simplilearn.com/learn-data-analytics-for-beginners-skillup?utm_campaign=Skillup-DataAnalyticsFCAug22&utm_medium=DescriptionFirstFold&utm_source=youtube

Dataset Link - https://drive.google.com/drive..../folders/1U8CF0Xx3Ni

⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
#dataAnalyst #dataAnalystFullCourse #howToBecomeADataAnalyst #dataAnalysis #dataAnalysisFullCourse #dataAnalystFullCourse #DataAnalyticsFullCourse #2022 #DataAnalyticsForBeginners #LearnDataAnalytics #DataAnalysis #DataAnalytics #Simplilearn

This Data Analyst Master’s Program in collaboration with IBM, will make you an expert in data analytics. In this Data Analytics course, you'll learn analytics tools and techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.

What are the learning objectives?
Simplilearn’s Data Analyst Master's Program, developed in collaboration with IBM, will provide you with extensive expertise in the booming data analytics field. This data analytics certification training course will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extracts, and forecasting. Through this course, you will also gain expertise in data visualization techniques using Tableau and Power BI, learning how to organize data and design dashboards. This data analyst certification online course places special emphasis on those currently employed in the non-technical workforce. Through this Data Analytics course, those with a basic understanding of mathematical concepts can complete the course and become an expert in data analytics. This learning experience melds the knowledge of Data Analytics with hands-on demos and projects via CloudLab. Upon completing this course, you will have all the skills required to become a successful data analyst.

Why become Data Analyst?
By 2020, the World Economic Forum forecasts that data analysts will be in demand due to increasing data collection and usage. Organizations view data analysis as one of the most crucial future specialties due to the value that can be derived from data. Data is more abundant and accessible than ever in today’s business environment. In fact, 2.5 quintillion bytes of data are created each day. With an ever-increasing skill gap in data analytics, data analysts' value is continuing to grow, creating new job and career advancement opportunities.

Who should take up this course?
Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst Master’s Program, including:
1. IT professionals
2. Banking and finance professionals
3. Marketing managers
4. Sales professionals
5. Supply chain network managers
6. Beginners in the data analytics domain
7. Students in UG/ PG programs

👉Learn more at: https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=DataAnalyticsFC2022Jan13&utm_medium=Description&utm_source=youtube

For more information about Simplilearn’s courses, visit:
- Facebook: https://www.facebook.com/Simplilearn
- Twitter: https://twitter.com/simplilearn
- LinkedIn: https://www.linkedin.com/company/simplilearn/
- Website: https://www.simplilearn.com
- Instagram: https://www.instagram.com/simplilearn_elearning
- Telegram Mobile: https://t.me/simplilearnupdates
- Telegram Desktop: https://web.telegram.org/#/im?....p=@simplilearnupdate

Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb

🔥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

🔹Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
🔹Check our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s

🔴Do 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

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 “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.


- - - - - - - - - - - - - -

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

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This Edureka video on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐫𝐚𝐬𝐡 𝐂𝐨𝐮𝐫𝐬𝐞 will explain what ChatGPT is all about. In this ChatGPT tutorial, you will learn about how ChatGPT works and the language model that ChatGPT uses.

ChatGPT is an artificial intelligence chatbot developed by OpenAI and launched in November 2022. It is built on top of OpenAI's GPT-3 family of large language models and has been fine-tuned using both supervised and reinforcement learning techniques.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program: http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program: http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program: http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program: https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

🌕Advanced Certificate Program in Cybersecurity with E&ICT Academy, IIT Guwahati: https://bit.ly/3Pd2utG


📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: 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.

✅ 𝗔𝗚𝗢𝗥𝗔 𝗘𝗨 𝗧𝗘𝗡𝗛𝗢 𝗨𝗠 𝗖𝗨𝗥𝗦𝗢 😍
▸ Olha que massa que ficou: https://curso.dev/

✅ALURA COM 10% DE DESCONTO: https://www.alura.com.br/promocao/news-deschamps

✅ÍNDICE:

01 - Diferença entre todos os termos: https://www.youtube.com/watch?v=ccZ2pyr3YDw&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=2
02 - Introdução ao Python: https://www.youtube.com/watch?v=Gojqw9BQ5qY&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=2
03 - Introdução a Data Science: https://www.youtube.com/watch?v=F608hzn_ygo&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=3
04 - Introdução a Machine Learning: https://www.youtube.com/watch?v=JyGGMyR3x5I&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=4
05 - Introdução a Data Visualization: https://www.youtube.com/watch?v=qLiEDvs57nk&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=5

Este é o primeiro vídeo de uma playlist SENSACIONAL sobre Inteligência Artificial e que conta com o apoio da Alura e o seu co-fundador Guilherme Silveira.

Este vídeo serve para dar uma visão macro de todos os termos geralmente relacionados ao tópico "Inteligência Artificial" como por exemplo Machine Learning (Aprendizado de Máquina), Data Science (Cientista de Dados), Deep Learning e até coisas como Data Visualization. Chegou a hora de clarearmos na nossa cabeça esses termos e inclusive colocar a mão na massa!!!

Alura, muito obrigado pelo apoio ao canal, tanto por trazer um conteúdo que vai mudar a vida de muita gente quanto por garantir o emprego a longo prazo de todo mundo que seguir essa playlist!

Se você também quiser apoiar a Alura, confira os cursos deles com 10% de desconto no link abaixo:

✅ CURSOS COM 10% DE DESCONTO: https://www.alura.com.br/promocao/news-deschamps


✅ 𝗚𝗢𝗦𝗧𝗔 𝗗𝗘 𝗡𝗢𝗧𝗜𝗖𝗜𝗔𝗦 𝗦𝗢𝗕𝗥𝗘 𝗧𝗘𝗖𝗡𝗢𝗟𝗢𝗚𝗜𝗔?

▸ Então você vai pirar nisso: https://filipedeschamps.com.br/newsletter


✅ 𝗢𝗟𝗛𝗔 𝗤𝗨𝗘 𝗠𝗔𝗦𝗦𝗔!

▸ Se essas conversas aqui estão fazendo você perceber coisas diferentes no seu código, ou na sua profissão de desenvolvedor, considera se tornar um Membro da Turma. É muito massa porque dá pra ter uma conversa muito mais próxima e discutir coisas bem diferentes e super importantes do nosso dia a dia: https://www.youtube.com/FilipeDeschamps/join


✅ 𝗢𝗦 𝗠𝗘𝗟𝗛𝗢𝗥𝗘𝗦 𝗩𝗜𝗗𝗘𝗢𝗦 𝗗𝗢 𝗖𝗔𝗡𝗔𝗟

▸ Preguiça: Descobri Como Consertar o Meu Maior Problema
https://youtu.be/rHANBi7E2cI

▸ 3 Técnicas Que Eu Uso Para Aprender a Programar Qualquer Coisa
https://youtu.be/ZtMzB5CoekE

▸ SOLID fica FÁCIL com Essas Ilustrações
https://youtu.be/6SfrO3D4dHM

▸ Eu fiz um dos melhores cursos de Programação do Mundo!
https://youtu.be/elIl48sZ3rA

▸ Desafio: 10 projetos rápidos para treinar Programação e conseguir um Emprego
https://youtu.be/fYR9L2ZmodM

Check out the latest (and most visual) video on this topic! The Celestial Mechanics of Attention Mechanisms: https://www.youtube.com/watch?v=RFdb2rKAqFw

This is the last of a series of 3 videos where we demystify Transformer models and explain them with visuals and friendly examples.

Video 1: The attention mechanism in high level https://www.youtube.com/watch?v=OxCpWwDCDFQ

Video 2: The attention mechanism with math https://www.youtube.com/watch?v=UPtG_38Oq8o

Video 3 (This one): Transformer models

If you like this material, check out LLM University from Cohere!
https://llm.university

Get the Grokking Machine Learning book!
https://manning.com/books/grok....king-machine-learnin
Discount code (40%): serranoyt
(Use the discount code on checkout)

00:00 Introduction
01:50 What is a transformer?
04:35 Generating one word at a time
08:59 Sentiment Analysis
13:05 Neural Networks
18:18 Tokenization
19:12 Embeddings
25:06 Positional encoding
27:54 Attention
32:29 Softmax
35:48 Architecture of a Transformer
39:00 Fine-tuning
42:20 Conclusion

Get Hostinger VPS - https://www.hostinger.com/in/ishan

Coupon codes
10% off on 12 month plans - ISHAN
15% off on 24 month plans - ISHAN15

Live n8n workflow link: https://n8n.srv1219917.hstgr.c....loud/form/2c68eba8-4

Get Gemini Nano Banana Pro API: https://ai.studio/

Sign up for free on Apify and get $5 worth of free credits: https://apify.com/
YT Transcript API: https://apify.com/pintostudio/youtube-transcript-scraper
POST Method API Endpoint: https://api.apify.com/v2/acts/....faVsWy9VTSNVIhWpR/ru

Sign up on Cloudinary: https://cloudinary.com/

This is the ultimate, no-code guide to building and deploying your first AI agent in under 30 minutes using N8N!

In this step-by-step tutorial, you'll learn how to connect the world's best AI models with a powerful no-code automation platform (N8N) to create an agent that works for you 24/7.

What you will build:
- A completely automated AI Agent that can consume a long piece of content, like a YouTube video (or article/document), and instantly process it.
- We'll specifically create an agent that summarizes a video and generates polished infographics from the summary, all automatically!

You will learn:
- The no-code stack for building reliable AI agents.
- How to connect N8N to different AI models and APIs.
- The complete process from concept to deployment.

No coding is required. If you want to get ahead in the AI revolution, this is an in-depth guide that can help you.

📸 Instagram: https://bit.ly/ishansharma7390ig

Join MarkitUpX Discord Server: https://discord.gg/fwSpTje4rh

CHAPTERS:-
00:00 Intro
00:24 Workflow
01:32 Setup Hostinger VPS
02:51 Creating nodes
04:18 On form submission
06:31 Extract YouTube transcript
10:35 Turn into Image
12:22 Prompt
15:30 Host image
17:46 Display Image
18:42 Publish workflow
20:52 Conclusion


😁 About Me: https://bit.ly/aboutishansharma
📱 Twitter: https://bit.ly/ishansharma7390twt
📝 LinkedIn: https://bit.ly/ishansharma7390li

🌟 Please leave a LIKE ❤️ and SUBSCRIBE for more AMAZING content! 🌟

3 Books You Should Read
📈Psychology of Money: https://amzn.to/30wx4bW
👀Subtle Art of Not Giving a F: https://amzn.to/30zwWbP
💼Rework: https://amzn.to/3ALsAuz

Tech I use every day
💻MacBook Air M1: https://amzn.to/2YWKPjG
📺LG 29' Ultrawide Monitor: https://amzn.to/3aG0p5p
🎥Sony ZV1: https://amzn.to/3ANqgDb
🎙Blue Yeti Mic: https://amzn.to/2YYbiNN
⽴Tripod Stand: https://amzn.to/3mVUiQc
🔅Ring Light: https://amzn.to/2YQlzLJ
🎧Marshall Major II Headphone: https://amzn.to/3lLhTDQ
🖱Logitech mouse: https://amzn.to/3p8edOC
💺Green Soul Chair: https://amzn.to/3mWIxZP

✨ Tags ✨
ishan sharma,how to build ai agents with n8n,how to build ai agents from scratch,n8n ai agents for beginners,n8n agent tutorial,n8n agent tutorial for beginners,how to build your first ai agent,n8n automation,how to setup n8n automations,ai agent building tutorial,n8n ai agent builder,n8n tutorial for beginners,how to build ai agents for free,how to build ai agents for your own business,Build AI Agents Effortlessly with N8N | Step-by-Step

✨ Hashtags ✨
#aiagents #ai #coding

Subscribe my vlogging channel
https://www.youtube.com/channe....l/UCjWY5hREA6FFYrthD
Please donate if you want to support the channel through GPay UPID,
Gpay: krishnaik06@okicici
Telegram link: https://t.me/joinchat/N77M7xRvYUd403DgfE4TWw

Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more
https://www.youtube.com/channe....l/UCNU_lfiiWBdtULKOw
-------------------------------------------------------------------------------------------------------------------------
Tech Gadgets
💻 Primary Laptop - https://amzn.to/3qMRHts
💻 Secondary Laptop - https://amzn.to/3hfRTOI
🎧 Headphones streaming - https://amzn.to/3jESmeZ
🎧 Wireless Earbuds for regular use - https://amzn.to/2UjDwzU
💺 Chair Studio - https://amzn.to/3ArutgX
🖥️ Monitors Studio - https://amzn.to/3ysOi5L , https://amzn.to/3hhoyDG
📷 HD Webcam for recordings - https://amzn.to/2VcsA7P
🎤 Pocket microphones recording - https://amzn.to/2TAfcK4
🎙️ Studio microphone streaming - https://amzn.to/3dLsWbJ
🔭 Tripod stand with studio Lights - https://amzn.to/2V3xMKV
🔭 Tripod stand sessions - https://amzn.to/3AqImMh
🔭 Tripod mini holder outdoor vlogging - https://amzn.to/3hzMqBf
📋 Pen Tablet Studio - https://amzn.to/3qMGIQz
🖱️ Wireless Keyboard and mouse combo studio - https://amzn.to/3jFbOZ7
⌚ Smart-watch - https://amzn.to/3jWrSpB
🧸 Favorite Soft-Toy - https://amzn.to/3hyIMYu

Connect with me here:
Twitter: https://twitter.com/Krishnaik06
Facebook: https://www.facebook.com/krishnaik06
instagram: https://www.instagram.com/krishnaik06

MIT Introduction to Deep Learning 6.S191: Lecture 10
The Future of Robot Learning
Lecturer: Daniela Rus
2023 Edition

For all lectures, slides, and lab materials: http://introtodeeplearning.com​

Lecture Outline - coming soon!


Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!

🔥Caltech Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=28May2023AIRoadmapfor2023&utm_medium=Descriptionff&utm_source=youtube
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=28May2023AIRoadmapfor2023&utm_medium=Descriptionff&utm_source=youtube

This video on "AI Roadmap for 2023" offers a comprehensive guide to becoming an AI engineer. This "Roadmap to Become an Artificial Intelligence Engineer" will help you to gain insights into vital programming languages and mathematical concepts essential for achieving expertise in AI engineering. AI presents exciting career opportunities in various industries and sectors. Roles like AI engineers, data scientists, NLP engineers, computer vision engineers, AI research scientists, robotics engineers, and many more offer exciting prospects for working with cutting-edge technologies and making an impact through AI innovation. According to Glassdoor, the average reported salary of an AI engineer in the United States is around $105,000/ yr; however, in India, it is ₹9,33,502L per annum.

In this "AI Roadmap for 2023" , we will cover the following topics:

✅ 00:00 AI Roadmap for 2023
✅ 00:10 Introduction to Artificial Intelligence
✅ 01:09 Salary of an AI Engineer
✅ 01:32 Top Companies Hiring AI Engineer
✅ 02:35 Steps to Become an AI Engineer
✅ 04:40 The Necessary Programming Languages and Algorithms

🔥Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=28May2023AIRoadmapfor2023&utm_medium=Description&utm_source=youtube

🔥 Free Machine Learning Course With Completion Certificate: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=28May2023AIRoadmapfor2023&utm_medium=Description&utm_source=youtube

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Machine Learning Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUI731

#AIRoadmapfor2023 #RoadmapForAI #Roadmap #RoadmapforArtificialIntelligence #ArtificialIntelligenceRoadmap #ArtificialIntelligence #AI #TopCertifications #BestCoursesOnline #simplilearn

➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

✅ Key Features

- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered

- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision

👉 Learn More At: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=28May2023AIRoadmapfor2023&utm_medium=Description&utm_source=youtube

🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
✅ Inspiring Success Stories of Simplilearn's Learners: https://www.simplilearn.com/reviews?utm_campaign=28May2023AIRoadmapfor2023&utm_medium=Description&utm_source=youtube