Comments about oreilly Fundamentals of Deep Learning:

Book is great but this release has many pages with code incomplete because the right margin eats a portion of the lines of code!! can you fix please?

Comments about oreilly Fundamentals of Deep Learning:

This book really makes me doubt O'Reilly's professionalism as a publisher.

Comments about oreilly Fundamentals of Deep Learning:

I know this is an early release book but the release date keeps changing. I feel like I have been scammed.At this point it seems this book will never be released.
I am very disappointed.

Comments about oreilly Fundamentals of Deep Learning:

I like the book because it goes enough into the theoretical explanations but also builds your intuition with nice examples, it's a perfect balance between theory and practice. I guess it's best suited for the curious software engineer. I only which there were more chapters ready!

Comments about oreilly Fundamentals of Deep Learning:

Good introduction to neural networks, going straight to the point and with examples. But the main problem is that two or three well selected tutorials will cover the chapters so far with equally good quality. And the book is depressingly delayed until March 2017. It seems it will never be finished, at this rate, and even if it is, how good and updated can it be after years?

Comments about oreilly Fundamentals of Deep Learning:

Based on the content available so far (Chs. 1-6), this is an excellent introduction to deep neural network techniques, and in particular clarifies why deep networks are operationally different from their simpler precursors like perceptrons. The recently-updated Chapter 6 includes a long-awaited, cogent and complete description of the deep-network auto-encoder strategy, which is how deep neural networks are used to do feature extraction.

I have one minor complaint, which is that many of the examples are very strongly tool-centered. This is high value for reproducing the results in TensorFlow (the tool used in this book), which is open-source and widely available, but I feel that the examples would be enhanced if they were also accompanied by a more detailed tool-agnostic description of the steps. The danger is that this might bog down the narrative, of course, so perhaps I should be careful what I wish for, but that's what has struck me so far.

Comments about oreilly Fundamentals of Deep Learning:

As a number of other reviewers have noted, this book is not even 50% complete. O'Reilly, what are you going to do about this? You can't just offer books for pre-release purchase and then not finish the book - and this is after a full year of waiting. What's going on?

Will you be offering a refund?

Regards,
A usually happy O'Reilly customer, who will be looking elsewhere in future for his tech book needs, if this is not dealt with.

Comments about oreilly Fundamentals of Deep Learning:

I purchased this book with the impression that it would be completed soon since it is on a rapidly evolving topic which has a limited lifetime.

14 months later and the book is not even 50% complete and the web page that a link to see the release history has no information about upcoming releases.

I believe that Oreilly should refund my money and quit offering it for sale even with the disclaimer that it is an early release version. 14 months for a current technical topic is a lifetime.

Comments about oreilly Fundamentals of Deep Learning:

I am reading the early released version of the book. So far the book provides very clear explanations and I am looking forward to read more chapters as they are ready.

Comments about oreilly Fundamentals of Deep Learning:

It's pretty good so far, but it clearly needs some proofreading and it really needs to be finished. Is there a schedule?