Neural Networks with Keras Cookbook: Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots 1st Edition, Kindle Edition

I love the content of this book, the best of many books I have purchased on the subject of machine learning. Want to give a 5, but there are many places where the formating just sucks. See my image for example.

It might be a valuable book if you're looking for Keras examples and references. But it is hard to read and lacking details. (Yes, this is a cookbook not a deep dive book after all.)

The example codes does not even work jesus christ

I've taken over 35 deep learning courses and read a half dozen books and hundreds of articles to become an expert at Deep learning. In virtually every course, there was a problem with uploading files or the code had flaws that left the student dead in her or his tracks.. Neural Networks is just a fantastic treasure that has a huge range of real code that actually works and has no bugs. Quite a resource. Bravo! When I had a question, the author found me on linkedin and wrote me back immediately to help with any troubles I had. The one single resource that does it all!!!

I have gone through multiple books in vain, trying to understand the working details of various neural networks architectures. This book does an amazing job of detailing the steps involved in building neural network architectures step by step.The structure of book is easy for the reader to follow, with a logical flow from one chapter to another and from one use case to another.The code is easy to follow with commentary about each line of code. However, there are a couple of use cases where in the book, the imported libraries are to be upgraded to have the code working – sufficient information has been provided in the code’s github repository.The combination of detail in book and the corresponding github code for use cases ranging across the spectrum makes this a MUST-HAVE book for anyone beginning with neural networks.

The Word embedding concepts were clear, application oriented and neatly explained.The book is structured appropriate to the readers learning curve. The author is reachable on linkedin and is has an amazing intuitive way of explaining complicated NN architectures. This book is a must buy if you are into deep learning applications.

This book is perfect for practitioners in the intermediate stage of machine learning.. The different examples help understanding how to create real word applications....the organization of it ('how to do it' sections) are really good..

The book is structured in a good manner but the code has many typos as well as previously undefined variables so it is impossible to follow along with the code. It seems like the book is only a half complete project. I really hope future versions fix these issues.

Absolutely appalling! You know the developer who writes 2000 lines of code and pushes it and calls it job well done? Well put that in combination with the guy who didn't bother reviewing the code and no one testing it and you get this book. Literally the first function in the book has a bug in it. And going forward it doesn't get better. The code published on github seems to work but it's considerably different. Don't waste your time or money.