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PyTorch: Deep Learning and Artificial Intelligence Udemy Free Download

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Welcome to PyTorch: Deep Learning and Artificial Intelligence!

Though Google’s Deep Learning library Tensorflow has gained huge recognition over the previous few years, PyTorch has been the library of selection for professionals and researchers across the globe for deep studying and synthetic intelligence.

Is it potential that Tensorflow is common solely as a result of Google is common and used efficient advertising and marketing?

Why did Tensorflow change so considerably between model 1 and model 2? Was there one thing deeply flawed with it, and are there nonetheless potential issues?

It’s much less well-known that PyTorch is backed by one other Web big, Fb (particularly, the Fb AI Analysis Lab – FAIR). So if you would like a well-liked deep studying library backed by billion greenback corporations and many group assist, you possibly can’t go unsuitable with PyTorch. And possibly it’s a bonus that the library gained’t utterly smash all of your previous code when it advances to the following model. 😉

On the flip aspect, it’s very well-known that each one the highest AI retailers (ex. OpenAI, Apple, and JPMorgan Chase) use PyTorch. OpenAI only recently switched to PyTorch in 2020, a robust signal that PyTorch is choosing up steam.

If you’re an expert, you’ll rapidly acknowledge that constructing and testing new concepts is extraordinarily simple with PyTorch, whereas it may be fairly exhausting in different libraries that attempt to do every thing for you. Oh, and it’s quicker.

Deep Learning has been chargeable for some wonderful achievements not too long ago, equivalent to:

  • Producing lovely, photo-realistic photographs of individuals and issues that by no means existed (GANs)
  • Beating world champions within the technique recreation Go, and complicated video video games like CS:GO and Dota 2 (Deep Reinforcement Learning)
  • Self-driving automobiles (Laptop Imaginative and prescient)
  • Speech recognition (e.g. Siri) and machine translation (Pure Language Processing)
  • Even creating movies of individuals doing and saying issues they by no means did (DeepFakes – a probably nefarious utility of deep studying)

This course is for beginner-level college students all the best way as much as expert-level college students. How can this be?

In the event you’ve simply taken my free Numpy prerequisite, then you recognize every thing it is advisable leap proper in. We are going to begin with some very primary machine studying fashions and advance to state-of-the-art ideas.

Alongside the best way, you’ll study all the main deep studying architectures, equivalent to Deep Neural Networks, Convolutional Neural Networks (picture processing), and Recurrent Neural Networks (sequence information).

Present initiatives embrace:

  • Pure Language Processing (NLP)
  • Recommender Methods
  • Switch Learning for Laptop Imaginative and prescient
  • Generative Adversarial Networks (GANs)
  • Deep Reinforcement Learning Inventory Buying and selling Bot

Even for those who’ve taken all of my earlier programs already, you’ll nonetheless study learn how to convert your earlier code in order that it makes use of PyTorch, and there are all-new and never-before-seen initiatives on this course equivalent to time sequence forecasting and learn how to do inventory predictions.

This course is designed for college students who need to study quick, however there are additionally “in-depth” sections in case you need to dig slightly deeper into the speculation (like what’s a loss operate, and what are the various kinds of gradient descent approaches).

I’m taking the method that even if you’re not 100% snug with the mathematical ideas, you possibly can nonetheless do that! On this course, we focus extra on the PyTorch library, moderately than deriving any mathematical equations. I have tons of programs for that already, so there isn’t any have to repeat that right here.

Teacher’s Word: This course focuses on breadth moderately than depth, with much less principle in favor of constructing extra cool stuff. If you’re searching for a extra theory-dense course, this isn’t it. Typically, for every of those matters (recommender methods, pure language processing, reinforcement studying, laptop imaginative and prescient, GANs, and so on.) I have already got programs singularly centered on these matters.

Thanks for studying, and I’ll see you at school!


  • Take a look at the lecture “Machine Learning and AI Prerequisite Roadmap” (accessible within the FAQ of any of my programs, together with the free Numpy course)


  • Each line of code defined intimately – e mail me any time for those who disagree
  • No wasted time “typing” on the keyboard like different programs – let’s be sincere, no person can actually write code price studying about in simply 20 minutes from scratch
  • Not afraid of university-level math – get essential particulars about algorithms that different programs pass over

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