Review of Generative Deep Learning Kindle Edition
Exclusive Customer Feedback Analysis on Generative Deep Learning

Review of Generative Deep Learning Kindle Edition

This review is for the Kindle edition of the book Generative Deep Learning. While the content and examples are good, the electronic version has poor quality with skipped type settings and substituted symbols. The book covers key techniques in generative AI but lacks a section on evaluating the quality of generated images. Overall, it is a helpful resource for understanding generative ML, but the formatting of mathematical formulas is a drawback.

Best for
  • Data Scientists
  • Machine Learning Engineers
  • Product Managers in Tech
  • AI Researchers
  • Educational Content Developers

Starting from $12, you can purchase this report to access from your inbox and Kimola account.

Purchased users
31 users purchased a report
in the last 24 hours.
One-time purchase without hidden or recurring costs!

Here you can see the preview of this report containing the analysis of only 14 latest reviews.

Custom Date - Apr 22, 2024
Featured Content
  • Give a very good understanding of the field.
    Helps create quickly easy models and gives a good grasp of the math underlying the models

    • Positive
    • Explanation of Concepts
    Sep 12, 2023
  • This was a great read to understand how generative AI works, at the right level of detail and very much up to date. The content structure is good to learn the theory starting from the basics and then gradually layering the most complex and recent evolutions. The accompanying TensorFlow workbooks help with practical examples that can be followed.
    One negative note: the Kindle version is low quality when it comes to mathematical formulas, impossible to read.

    • Positive
    • Book Quality
    Aug 30, 2023
  • highly recommended for beginers

    This is a lovely book. It is readable and explains the principles behind algorithms clearly.

    • Positive
    • Explanation of Concepts
    Aug 25, 2023
  • Code demos don't work

    The big-picture ideas are good, but without the ability to practice the code included, I can't recommend it.
    (I spent over ten hours trying to work through compatibility problems, outdated libraries, and unsupported software. In the end, I wasn't able to run a single example code example from this book. I'm not a noob either. I've managed to install and run inference / training on dozens of open source AI projects, for image gen, LLMs, music, voice synthesis, style transfer, NeRFs, and 3d model gens. This book uses Docker and Jupyter notebooks, which I've never seen any other project use ever. They're not supported on modern systems. Obsolete.)

    • Negative
    • Code Examples
    Aug 16, 2023
  • Explains Generative ML Very Well

    David did a great job with this book. He very clearly explains how generative ML (deep learning, AI, etc) works from first principles. Very helpful if you're interested in GAI from a fundamental level.

    • Positive
    • Explanation of Concepts
    Jul 02, 2023
  • The book I was looking for

    Amazing book, for me the best thing about it is that there are many well-sourced and working code and data examples which are explained clearly in the text.

    • Positive
    • Code Examples
    Jun 09, 2023
  • See All Reviews
Sentiment Analysis
57 Net Promoter
Popular Topics
Similar Reports
  1. Amazon Product Reviews 70
  2. Amazon Product Reviews 73
  3. Amazon Product Reviews 67
Frequently Asked Questions
  • This page displays purchase options and a preview of the customer feedback analysis report for Generative Deep Learning eBook : Foster, David based on online reviews collected from Amazon. The analysis helps Data Scientists, Machine Learning Engineers, Product Managers in Tech, AI Researchers, Educational Content Developers to discover insights into what people love, dislike, and need.

  • This report provides the Net Promoter Score, sentiment analysis, content classification, most popular phrases, languages and a trend graph to display how the context changes over time. After purchasing the report, you can search in customer feedback and filter results based on classification labels and popular phrases. Also, the analysis is available in PDF format, and all the reviews are available in Excel.

  • Yes, this page is publicly available for everyone on the internet to see. You can copy and share this link with a friend, college or on social media.

  • Yes, you can, and this is the fun part about Kimola! Kimola turns customer feedback into market research by analyzing online reviews from various sources.

  • Yes, you can have this research report analyzed with more reviews. The page you are viewing displays a limited preview with the analysis of 14 recent reviews. Starting from $12, you can buy the complete version of this research report containing all reviews. Click here to see the purchase options.

Legal Disclaimer

We would like to clarify that this product is not created by Amazon and is not associated with or supported by Amazon in any way.

As a user of this web scraping tool, you are solely responsible for complying with all applicable laws and adhering to Amazon's terms of use, including copyright regulations, when utilizing the extracted review data.