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This is an excellent stand-alone book, though if you are a complete novice to the basics of what a neural network is and how it works, I would recommend first reading Taylor’s other book, “Make Your Own Neural Network: An In-depth Visual Introduction For Beginners�� which will walk you through creating your first neural network, step by step, down to explaining each line of code (using Python, but no prior knowledge is assumed).

If you have at least a vague idea already of what a neural network is and how it works even if just in principle, then by all means dive right into this book which focusses, as the title suggests, on the mathematics of neural networks.

However! This is not a dry maths textbook, and the explanations keep it tied closely to the topic at hand with examples aplenty, and in the same style as Taylor’s other work, very lucid step-by-step visual walkthroughs of everything, explaining each part quickly but without assuming prior mathematical knowledge (beyond perhaps the basest of concepts; nothing that should challenge anyone who has even just a high-school level understanding of maths, or perhaps even a not quite that).

All in all, this is an incredibly accessible and illuminating book that I highly recommend to any who have an interest in the under-the-hood aspects of machine learning.