Practical Guide to TensorFlow for AI and Machine Learning
Master TensorFlow: Insights from Our Customer Feedback Report
A practical and focused guide on using TensorFlow for AI and machine learning, written by Laurence Moroney. The book covers essential concepts and provides clear explanations and examples. It is suitable for both beginners and experienced coders. However, some readers find the Python code poorly written and the book lacking in explanations for certain topics. Overall, it is a valuable resource for learning TensorFlow.
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Great summary of machine learning and what to do with it
Met and exceeded my expectations. Great walkthroughs and explanations on coding machine learning into different environment (using TensorFlow). Also good starter discussion on ML techniques. I especially liked the mx+b example of neural networks, very intuitive. Answered lots of questions I had about using my models, such as with JavaScript or using transfer learning.The last chapter on ethics / federated learning felt a little short (but the fact it was there was already good). I would have li...
Sentiment
Positive
Content
Practical and Applicable
Feb 05, 2022
good starting point for deep learning education
Likes:- It is a good intro for student of AI and machine learning.- It helps you get a grasp on machine learning quickly. If you want to learn by doing, this is the right book for you.Dislikes- The author does not always hold you hand through the whole journety. You have to figure out certain things for yourself by looking at the example code which is available online. As the title suggests, the book is for coders who know how to read code and put together pieces of code snippets to make the ex...
Sentiment
Positive
Content
Incomplete Coverage
Dec 17, 2021
Incredible, approachable, useful and easy-to-understand approach to TensorFlow and TensorFlow Lite
I found this book to be incredibly practical, easy-to-approach, and directly applicable to real-world problems that I am trying to solve. I have read quite a few Machine Learning (ML) and AI-type books "for programmers". This book differs from them in having the sole focus of giving programmers the minimum, pertinent, focused information and context needed to start utilizing TensorFlow (TF) on their own projects, right now. There are enough examples in this book that one of them might directly ...
Sentiment
Positive
Content
Practical and Applicable
Aug 13, 2021
If you know how to code, this is the book to get you into AI!
Laurence is the teacher you always wish you had. He covers every aspect of TensorFlow with deep yet tangible intelligence. If you're worried about understanding the practice of machine learning and artificial intelligence, don't worry any longer. This book guides you through various aspects of the TensorFlow framework, but it also leans into the varying aspects of popular AI problems.You get the full tour in this book, from NLP coding to embedding your models in edge devices. Each section is ov...
Sentiment
Positive
Content
Comprehensive Refresher
Jun 03, 2021
Wonderful, easy to read and explained in a simple "Google like" way
Laurence explains tough concept in easy way.Code in Github and website of Laurence has good examplesThis is my 3rd book on Machine Learning, and I have seen different approaches to explaining complex concepts like How CNN works? etc. The stye used by Laurence comes with many decades of experience to understand and I guess thats why he can explain so well. I am liking it :).I just finished Chapters 1, 2, and 3 with coding along the way.Will update again as I read and practice further.Thanks Laur...
Sentiment
Positive
Content
Clear Explanations
Jan 07, 2021
A really good developer focused intro to Deep Learning with Tensorflow
If you start with this book, watch Laurence's videos on the TensorFlow/ Google Developer youtube channel and work all the examples and exercises, you will have a solid foundation in deep learning. Then you could potentially learn more from the documentation itself or by using Aurélien Géron's book.I feel other Oreilly books should be like this.Although math is almost absent in this book (hence 'for coders'), Laurence does a great job explaining convolutions and maxpooling etc.. I've seen lectur...
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