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Carlo Estopia Feb 18, 2024

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Mac Jan 28, 2023

Starts with a nice introduction and definition of ANN and activation functions. Then it goes over regression and classification, to my surprise it does a nice job going trough some other data visualization libraries to provide some intuition about the data. Then CNN, Word embedding, RNNs a and transformers, the latter chapter I have spent a big chunk of time. I consider the provided code is very helpful and the explanations make easy to follow. It's very nice to see how cutting edge algorithms work and how they can be implemented. I'm still working on the self-generative models chapter, since it has plenty of useful information and code implementation.So far the book is very well written, with tons of coding and examples, throughout explanations and a nice sense of what is needed in the field nowadays. Great book to get a better grasp and learn how to implement cutting edge technologies.

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Samuel de Zoete Dec 20, 2022

Awesome. The book is so comprehensive that the title is very modest. The book title could have started with “the complete guide for…” or “the ultimate book on…”. It covers anything you can think of concerning machine learning using Tensorflow and Keras. It became my “go-to” book for understanding machine learning models, transformers (BERT, GPT, XLNET, and others), mobile deployment, GAN, self-learning, and more. The clear and concise descriptions and code examples help me start immediately with my private projects and professional implementations. And if I want to dive deep into a particular topic, the book provides links to websites, articles, books, and forums at the end of each chapter.

Sayed Qaiser Ali Jan 08, 2023

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

Ryan Zurrin Dec 05, 2022

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.

Deep Learning with TensorFlow and Keras – 3rd edition: Build and deploy supervised, unsupervised, deep, and reinforcement learning models , Third Edition

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