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This book never really delivers on the promise of being "an accessible introduction" to deep learning, despite the fact that the two first chapters are written on a very clear language that strikes a good balance between precision and understandability for the layperson. After that, however, the book does not find its voice: some parts seem to reach out to a general audience, but, only a few paragraphs later, the author goes back to speaking to an audience of computer scientists.

As a result, much of the core of the book is inaccessible to the general reader while failing to provide enough detail for a technically-minded introduction. Which is sad, as the book occasionally delivers insights that are useful for either audience. So, it seems that the author would have been better served by picking one public or the other, instead of aiming at both and satisfying neither.

Besides this general complaint, there is one specific thing that annoyed me A LOT: figure positioning. At times, a figure (such as a network diagram) is mentioned in the text, but it only appears several pages later, after the author has already spent a few paragraphs describing what is going on. This does not help with understanding what is going on.