Tensorflow: second book
A while back, I posted on my interest in Tensorflow , and planned a few brief follow-up impressions of some books I bought. This was soon followed by a first posting on "Tensorflow for Deep Learning" with a follow-up on a CNN for a digit recognition example from that book. After that, the distractions of life and work took over, but now I am ready to continue these postings. Since then, I even bought a few new books! I am really enthusiastic about the second book, "Learning TensorFlow" by Tom Hope, Yehezkel S. Resheff, and Itay Lieder. Unlike the first book, which was informative but a bit sparse on details, this book explains the details of constructing and running a TensorFlow computation graph really well. After the first three chapters, I was quite comfortable with the fundamental basic blocks of TensorFlow and experimenting with some different setups. What was particularly helpful was showing a toy graph first to explain underlying principles before m
