Deep Learning with Python

Narrated by: Mark Thomas
Length: 9 hrs and 55 mins
4.7 out of 5 stars (42 ratings)

Audible Premium Plus

$14.95 a month

1 audiobook of your choice.
Stream or download thousands of included titles.
$14.95 a month after 30 days. Cancel anytime.
Buy for $19.95

Buy for $19.95

Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.

Publisher's Summary

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. 

  • Deep learning from first principles
  • Setting up your own deep-learning environment
  • Image-classification models
  • Deep learning for text and sequences
  • Neural style transfer, text generation, and image generation  

Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning - a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications.  

François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2017 Manning Publications Co. (P)2018 Manning Publications Co.

What listeners say about Deep Learning with Python

Average Customer Ratings
Overall
  • 4.5 out of 5 stars
  • 5 Stars
    31
  • 4 Stars
    9
  • 3 Stars
    2
  • 2 Stars
    0
  • 1 Stars
    0
Performance
  • 5 out of 5 stars
  • 5 Stars
    31
  • 4 Stars
    4
  • 3 Stars
    1
  • 2 Stars
    1
  • 1 Stars
    0
Story
  • 4.5 out of 5 stars
  • 5 Stars
    29
  • 4 Stars
    4
  • 3 Stars
    2
  • 2 Stars
    1
  • 1 Stars
    0

Reviews - Please select the tabs below to change the source of reviews.

Sort by:
Filter by:
  • Overall
    4 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Almost Perfect - Better when paired with the book

Having such a technical book read aloud is awesome. And as far as the coverage of the subject matter, this is also fantastic as many Amazon reviewers will attest to. The only problem with the Audible version is that it was never intended to be used in isolation. The PDF that accompanies the Audible version contains numbered figures as well as some unnumbered code snippets. The problem is that many (maybe half) of the code snippets are missing from the PDF. For example the narrator will read the line "Finally, this was the training loop:", then he will ignore the code snippet and seamlessly continue with the next paragraph. You may not realize he is referring to some code, and even if you did, you would not know which code snippet because they are all unnumbered or simply missing form the PDF altogether. This is why this audio book is really only useful when paired with the eBook or physical book.

18 people found this helpful

  • Overall
    3 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    2 out of 5 stars

Skip the Audible, buy the book

This is a good introduction to the subject of deep learning, but the audible format just doesn't suit it. He is constantly making references to illustrations. There is a PDF to download which contains most but not all of the illustrations. Also, he often references "this URL" in the audible but never specifies what the URL is. The accompanying PDF does not contain those URL references, at all, anywhere. Also, images on the PDF are such that they do not align with page breaks when printing. Thus images are split in half, with the top of the image on the bottom of one page, and the bottom of the image on the top of the next page. Overall a disapointingly sloppy implementation. Don't get me wrong, I think this is a really good book. It is only valuable as an audible if you own the physical book and want it read to you. I am probably going to try to return it as an audible and purchase the physical book instead.

8 people found this helpful

  • Overall
    3 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    3 out of 5 stars

does not translate well to audiobook

it does a great job talking through complex material, but many concepts appear to be visual in nature. I believe this would be better ingested in a reading format.

5 people found this helpful

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Supplimentary to the written version

The audio book is great if you also have a written version of it. I listened to this during my commute and caught up with the code examples later when I was with my laptop. This was a great book and the audio book was a great suppliment.

1 person found this helpful

  • Overall
    4 out of 5 stars
  • Performance
    2 out of 5 stars
  • Story
    5 out of 5 stars

Great book, not the greatest voice recordings

The book is really well written and explained, but personally I found the voice to be monotone and a bit boring but I imagine that depends a lot on who's listening. I also had other problems with the audio, including the fact that the narrator does not read which figure the text refers to, meaning he will just say "like this:" and not say which figure it is. This problem is compounded by the fact that the chapters in the PDF and the audiobook are offset from each other.

  • Overall
    4 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    3 out of 5 stars

ok for getting keywords

I halfway listened to this book to get the keywords of deep learning, and got that. However the book do a lot of referencing to tables, links and images which is difficult to follow when you dont have them in front of you.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Excellent Text as a Serious Introduction

Deep Learning with Python provides the required vocabulary, examples and overview to begin to understand how Python, Keras and TensorFlow are being used today to build predictive neural nets. I'm looking forward to François's followup text written for advanced programmers. The code examples are not read by the narrator, therefore the printed text is recommended as a support. A powerful way to retain this information is to read, then listen, then re-read, then re-listen to each chapter, following common guidelines for optimizing the interval between each visit. https://ncase.me/remember/ Part 2 "The Science of Spaced Repetition".

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Outstanding Book

Great book and very easy to listen to while driving! Follow this author at @fchollet on Twitter...

Sort by:
Filter by:
  • Overall
    2 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    2 out of 5 stars
Profile Image for Richard Millen
  • Richard Millen
  • 04-13-20

Very difficult to follow

I'm a professional software engineer, a machine learning novice, with very little knowledge of calculus. This is an early review as I haven't finished the book. This audiobook has a lot of potential, I enjoyed the first chapter which gives some context, but (so far) the maths section has been poor. Not enough care was taken during the conversion to audio. References to figures in the companion pdf are too few and often unclear and confusing. All too often I find myself scrolling up and down the pdf, trying to find my bearings. To make matters worse there are often statements such as "like this" when referring to the pdf. Like what exactly!? In short, it started well, but has become an increasingly frustrating experience. I'm not confident that I'll be able to get through it. Still, I would consider the ebook or paperback version.

1 person found this helpful

Sort by:
Filter by:
  • Overall
    3 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    3 out of 5 stars
Profile Image for Manfred Knorr
  • Manfred Knorr
  • 01-26-20

Not working as an audio book

Once all the historical stuff is over, chapter 2 starts with actual analysis. Sadly, the text often refers to figures in the book without mentioning what they are in the accompanying pdf. So, one is not able to know what to look at. if it is even in the pdf. Unless a copy of the book is made available, I doubt this audio book will be of much help to beginners.