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Highlights

BETA

This feature is in BETA, meaning the algorithms used to provide these results are constantly improving. These results might change.

Quality


What i like about this book is the coverage for the basics.

Positive Review

Therefore, authors need to install latest versions of all the software tools on a clean new computer and test all the programs...  Read More

Neutral Review

Price


Overall i think it is a great book, well worth the price.

Positive Review

Competitiveness


By being able to compare it with his book on tf1, i quickly caught up the quirks and advantages of tf2.

Neutral Review
Overview
  • How are reviewers describing this item?
    model and many.
  • Our engine has profiled the reviewer patterns and has determined that there is minimal deception involved.
  • Our engine has determined that the review content quality is high and informative.
  • Our engine has discovered that over 90% high quality reviews are present.
  • This product had a total of 78 reviews as of our last analysis date on Jun 2 2021.
Details

BETA

This feature is in BETA, meaning the algorithms used to provide these results are constantly improving. These results might change.

Most positive reviewquestion

I really liked this book which covers all modern Deep Learning concepts with practical applications based on Tensorflow 2. The ...  Read More


Helpful Insights

BETA

This feature is in BETA, meaning the algorithms used to provide these results are constantly improving. These results might change.

    Posted by a reviewer on Amazon

    I strongly advice the book to anyone (either newbie or expert) because the experience of the authors is rock-solid and it's impossible not to learn something new in this book.


    Posted by a reviewer on Amazon

    Source code of packt published books are not working.


    Posted by a reviewer on Amazon

    Below given book is also giving errors similar to this book's errors.


    Posted by a reviewer on Amazon

    Please help in fixing the source code files of the following book: deep learning with r for beginners: design neural network models in r using tensorflow, keras, and mxnet by mark hodnett etc have similar errorsjan 25, 2020 review notes:downloaded latest update of the source code files from github.


    Posted by a reviewer on Amazon

    It ran without errors and gave output results.


    Posted by a reviewer on Amazon

    However, the output gave [4 4]this output is saying both standing cat imge and dog image belong to same class of four.


    Posted by a reviewer on Amazon

    I ran the program on page 129 and renamed the model file model.


    Posted by a reviewer on Amazon

    Then i ran program on page 131 and getting following error: valueerror: you are trying to load a weight file containing 13 layers into a model with 6 layers.

Review Count History
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