Convolutional Neural Networks for Visual Recognition

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.…