Deep Learning Artificial Intelligence involves the interplay of Computer Science, Physics, Biology, Linguistics and Psychology. In addition to that, it is technology that can be extremely disruptive. The ramifications to society and even our own humanity will be profound. There are few subjects that are as captivating and as consequential as this. Surprisingly, there is very little that is written about this new technology in a more comprehensive and cohesive way.

Whatever you are studying right now if you are not getting up to speed on deep learning, neural networks, etc., you lose,

NOTE TO PROSPECTIVE BUYERS: Save your money and read the Intuition Machine blog on Medium. It's free, and most of the material from this book is just compiled from the author's blog posts. Pros: 1) Thought-provoking survey of ideas at the forefront of AI research Cons: 1) The book is full of glaring grammatical errors that an editor should have caught. This makes whole sections of the book incomprehensible on the first pass. I know this because there are chapters where the author fails to remove lines such as "in this post..." Bottom line: the book lacks polish and, as such, is way overpriced.