Deep Learning with Python

I second Designing Data-Intensive Applications. Deep Learning with Python by François Chollet I think works as an audiobook as well. I am a big non-fiction audio book fan and so much depends on the voice actor. I bad read can ruin the best content while Robertson Dean made Alan Greenspan's The Age of Turbulence into an enthralling adventure story.

+1 for this book. Such a pleasure to read and to work through the samples.

This is a really excellent book - I'm currently reading it - but it seems to be everything the questioner wanted to avoid. It's not heavy on maths, and it mostly sticks with one framework and language.

I loved Deep Learning with Python by François Chollet -- the creator of Keras https://www.manning.com/books/deep-learning-with-python An excellent, coherent overview with working code to train a variety of neural networks.

I wrote a piece on that in: https://github.com/stared/thinking-in-tensors-writing-in-pyt... (https://github.com/stared/thinking-in-tensors-writing-in-pytorch#why-not-something-else) > If I wanted to learn some particular framework, I would just look up the documentation for that framework. Well, if you don't know deep learning, it is not how it works (unless it is a poor book, which only provides an introduction to some API). Still, I recommend "Deep Learning in Python" by Francois Chollet as it provides a good overview of practical deep learning. For practical applications, a book WILL use one framework or another or will be useless. If you understand overfitting, L2 or batch processing in Keras, you will be able to use in any other framework (after looking up its API). When it comes to the mathematical background, Deep Learning Book by Ian Goodfellow et al. is a great starting point, giving a lot of overview. Though, it requires a lot of interest in maths. Convolutional networks start well after page 300.…