@ihtesham2005: This book is written by a Godfather of AI and it's free to read. You can learn: - Neural networks - How machines see - …
Summary
Yoshua Bengio's 'Deep Learning' textbook, co-authored with Ian Goodfellow and Aaron Courville, is available for free online at deeplearningbook.org, offering comprehensive coverage of neural networks and related math.
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This book is written by a Godfather of AI and it’s free to read. You can learn:
- Neural networks
- How machines see
- How machines remember
- Why models overfit
- The math behind all of it
Yoshua Bengio is one of three people the field calls the Godfathers of AI. He spent the 1990s betting on neural networks when almost nobody else believed they would work.
In 2018 that bet won him the Turing Award, which is basically the Nobel Prize of computing.
He wrote a book called Deep Learning with two other researchers. Ian Goodfellow, his former student, the guy who invented the thing that lets AI generate fake faces. And Aaron Courville.
It came out through MIT Press in 2016 and it became the book an entire generation of engineers actually learned from.
Here is the part that gets me.
The printed copy sits on Amazon for real money.
But the full book, every single chapter, is sitting on a website for free. Not a sample. Not the first three chapters with a paywall after. The whole thing.
It starts from the ground floor like Linear algebra and Probability.
The stuff you were supposed to learn in college and probably forgot. Then it walks you up, one step at a time, until you actually understand what is happening inside the models running the world right now.
Most people never open it because it looks intimidating.
It is a real textbook, not a weekend blog post.
But that is exactly why it works.
The people who actually understand this field did not watch a 12 minute video. They sat with this and struggled through it.
The man helped build the thing. Then he gave away the manual.
http://deeplearningbook.org (all the content is available on this website)
Free forever, in his own words.
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