Title: There are lots of deep learning books on the market. The vast majority of them are presenting practical examples using some Python (or whatever) deep learning framework. Such books don&#x27;t interest me at all. If I wanted to learn some particular framework, I would just look up the documentation for that framework.<p>I&#x27;m looking for two types of books:<p>1. A technical, math-heavy introduction to neural networks and deep learning, with little or no actual code (except possibly some pseudocode). The often recommended book by Goodfellow et al resembles what I&#x27;m looking for, but unfortunately, it completely lacks exercises.<p>2. An entertaining pop science like book which takes a more philosophical and cross disciplinary look at neural networks as well as their inspirations and applications. I haven&#x27;t been able to find a single book like this, but  surely it has to exist?<p>Recommendations, anyone?
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