Deep Learning with TensorFlow and Keras - Third Edition

Concepts are clearly explained. Should have machine learning knowledge as prerequisite.

This textbook is really good, and contains from scratch knowledge about deep learning framework and implementation.Consider this textbook for the serious life long learners of deep learning, and also helpful in clearing the tensorflow developer exam.

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Nearly 700 pages of indispensable references and examples on how to use two of the most popular and AI and ML libraries out there. I have just skimmed through it currently and was literally blown away at how many examples this book provides. To me having examples to follow when you are new to learning this stuff is essential and a must and this book does not lack in that department.As others have already mentioned it gives a great introduction on the subject and talks about what TensorFlow and Keras is and what these libraries are built for. It gets in depth into things like Regression and Classification models. CNN's, DCNN's, RNN's, GAN's, and a ton more!!!It has a dedicated chapter on just the math behind Deep Learning which is really amazing for all the big math buffs out there. I like it because it is not hard to follow and you can easily follow along to most of the book with very little math background which is why having libraries like TF and Keras is so powerful. It gives programmers a simple to use API that allows anyone with the desire to start working on their own projects the tools to do so without being bogged down by the difficult things which have been abstracted away to such a level that you can now run models with less then 100 lines of code. So amazing when you really think about it.This book not only provides easy to follow examples, and writing style, it has a ton of references for each chapter giving the reader the opportunity to follow up with anything they want to dig deeper into which is very powerful for finding additional information on the subjects. This is especially useful for students and researchers who are actively writing peer reviewed papers on this subject.I would recommend this book to anyone who is interested in learning about or anyone who may already be involved in AI and ML, or just anyone in general. You can know nothing and this book will be helpful to you or you can already be a seasoned expert and this book will still be valuable to you, it is just a well rounded and jam packed book full of useful examples and knowledge.I am very happy I picked this book up.

One of the best resources to learn the tricks of the trade of building cutting edge Machine and Deep Learning systems. Authors team has put in efforts to clearly explain the fundamentals of ML and DL. Extensive code samples are helpful for successful learning.This book provides just right theory and practice required to use Keras, TensorFlow, and AutoML to build machine learning systems....

The explanations are vague, and the authors just point you to the literature for details. There is a lot of detailed code, which does help, but not really what I want from a book.

The book is great in the sense that it covers a wide array of machine learning methods and provides a lot of depth to most of them. The downside, though, is that the book is littered with typos.Most of the typos have to do with equations or with model results. For example, the book incorrectly gives the equation for a plain vanilla LSTM and instead gives the equation for a peephole LSTM. And as far as the results go, they often show the Python output of a model and then describe the results using different outcomes than the ones presented in the results.The typos do not make the book unreadable. But they do require you to double check model equations at every turn to make sure the authors got it right (they don’t enough times for it to matter).For a third edition, these typos are unexpected and obnoxious. I’d still recommend getting the book, with the caveat that the typos make it necessary to read closely and double check using resources aside from this book.

Sample shows color graphs but it’s a black and white print. The content look fine.