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My go-to when I started in Deep Learning is Stanford's CS 231n course http://cs231n.github.io/, the lecture notes are amazing. It was instrumental when I first dove deep into Deep Learning and helped me understand all the components needed to make Convolutional Neural Networks(CNN) and Neural Networks(NN) work. I first read this and watched the lecture videos. This course was a great primer for me to understand the content and theory in Goodfellow's Deep Learning book.

Reading through the first module, this looks great! Lots of helpful graphics and code examples.

Thanks for sharing.

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