Neural Networks from Scratch in Python

If you’ve ever wondered and wanted to know more about how neural networks actually work, including the optimization and fitment, rather than just calling some method, then you might be interested in checking out the neural networks from scratch book by myself and Daniel Kukiela.

The book can be had in the form of an ebook PDF, soft cover or hard cover, we ship for free worldwide and the physical books also come with an ebook copy.

Full Color

All copies are in full color, which helps because there’s a lot of syntax highlighting in the code and lots of charts and diagrams to help convey the principles. Also almost all of those charts and diagrams have QR codes and links that take you to animations to help further illustrate the concepts.

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...Actually from scratch

This is truly neural networks from scratch, teaching everything from the forward pass, calculation of loss, backpropagation and optimization. The only math you’re expected to know coming in is basic algebra, the rest is taught by us in the book, step by step.

Everything is shown and explained in the book first logically, then mathematically, then via raw python code, no third party libraries, then finally optimized via numpy, and this is for every step of the way building and training actual neural networks for a fully fundamental understanding of neural networks and how they work.  

If at any point you’re lost or confused, all copies of the book also grant access to a google docs version of the book, where you can ask questions in line with the actual text itself.

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