Archit Singh
Archit Singh asked:

do we need any pre requisites to be reading through this book?

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The_phet There are some "introductory" chapters, but they are really more about refreshing stuff than learning from scratch.

They say the book can be read by people starting, but that is false. You need really really strong math knowledge, and you need very advanced machine learning knowledge.

If you want a real introduction to deep learning, I suggest you try another book.
Piyush Essentially a little bit of background in math should do it. People who say this is false probably had issues because the background I'm talking about requires thinking about math problems, not just being familiar with the theory.
Juan Manuel You should have a good machine learning background, as well as solid probability foundations. The introductory chapters are not really helpful to understand what you need but just to refresh it
Alex The prerequisites part of the book serves as a crash course and reading list itself, and very successfully so.

Familiarity with set theory notation and geometric intuition of linear algebra essentials seems like the only things you need to get started.
Tim Regan There's a section covering the mathematics and the machine learning that you'll need but the authors do point out that ...

We do assume that all readers come from a computer science background. We assume familiarity with programming, a basic understanding of computational performance issues, complexity theory, introductory level calculus and some of the terminology of graph theory. (p.12, the end of sub-section 1.1)
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