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  • Deep Learning with Python
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  • Customer reviews

Customer reviews

4.6 out of 5 stars
4.6 out of 5
1,359 global ratings
5 star
75%
4 star
15%
3 star
5%
2 star
2%
1 star
3%
Deep Learning with Python

Deep Learning with Python

byFrancois Chollet
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Top positive review

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Mike Durham
5.0 out of 5 starsConcise, Great Examples, Gets to the Point
Reviewed in Canada 🇨🇦 on October 14, 2022
Book was worth every penny. Well written. Great examples.

Pair this up with Geron (Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition), and you'll get some great theoretical and practical exercises in ML.
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Top critical review

All critical reviews›
James
1.0 out of 5 starsBuyer beware, I got a counterfeit book
Reviewed in Canada 🇨🇦 on March 30, 2020
I only purchased this book, because I wanted a reference book for Deep learning but could not wait for 2nd edition. Seeing the discounted price, I thougth I would go ahead with the purchase, and just buy 2nd edition again anyway later this year.

This review is not about the content of the book, but of the book's quality. Specifically I have a suspicion that the book I received was counterfeit. I say this for the following reasons:
1) there is an insert that allows me to download the e-book for free from the publisher's website. However, the insert is littered with typos, of the automatic OCR scan-to-text type. Eg link is tink, etc.
2) the binding looks a bit glue-gunned, especially to this insert
3) the graphics look pixelated (especially the graphs), the print looks like it was done in economode, and the paper is recycled/grey looking.

Therefore, be mindful of the purchase and gauge from the selling price. Remember that the MSRP is approx $65.
Read more
7 people found this helpful

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1,359 total ratings, 333 with reviews

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From Canada

Mike Durham
5.0 out of 5 stars Concise, Great Examples, Gets to the Point
Reviewed in Canada 🇨🇦 on October 14, 2022
Verified Purchase
Book was worth every penny. Well written. Great examples.

Pair this up with Geron (Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition), and you'll get some great theoretical and practical exercises in ML.
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Bilal
5.0 out of 5 stars Should've been titled: Deep learning with the Keras framework and TensorFlow
Reviewed in Canada 🇨🇦 on June 21, 2019
Verified Purchase
Excellent book to get a quick start on deep learning! This is not a book to learn the theoretical aspects of deep-learning, rather it is a collection of hands-on examples to work through and learn by experience and the guidance provided by the author. That said, if you have seen neural networks from the 1990s along with the back propagation algorithm, and you can visualize the concepts of gradient descent and convolution, then this material is very easy to follow

The examples are setup on the Keras framework using TensorFlow as the backend engine. I used an EC2 p2.xlarge instance as suggested by the author. The setup required a bit of help beyond what's provided in Appendix B. Once setup though you will need to run from a virtual environment: "source activate tensorflow_p36". . . . . . My final thought is that after having read Chapter 7, I want to do a second pass using callbacks and tensorboard for better insight.
One person found this helpful
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Matt Allen
5.0 out of 5 stars One of the best summary books
Reviewed in Canada 🇨🇦 on August 11, 2021
Verified Purchase
I enjoyed reading it. Written by the guy who developed Keras. Very easy to follow.
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Lino Coria Mendoza
5.0 out of 5 stars Great book to implement deep learning algorithms with Python
Reviewed in Canada 🇨🇦 on February 16, 2018
Verified Purchase
This is a great book. In order to follow this material, it is useful to know the basics of machine learning. You should also be very familiar with Python. I really like that equations have been replaced with lines of code. Following lines of code is easier for many people, including myself (there are other books for purists). The Jupyter notebooks are a great way to learn the basics. I also like all the hands-on advice (special attention is given to the problem of over-fitting).
Potential problem: a lot of the information might become outdated very soon. Make sure you get the latest edition of the book (as more editions become available).
2 people found this helpful
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William Mailhot
4.0 out of 5 stars Really good quality
Reviewed in Canada 🇨🇦 on February 3, 2019
Verified Purchase
The quality of the content is amazing and very well explained. The only reason I gave the book a 4/5 is because of the physical book itself. The book is very fragile and the pages are very thin. The book I received was also damaged (has folds on it that are irreversible)
One person found this helpful
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James
1.0 out of 5 stars Buyer beware, I got a counterfeit book
Reviewed in Canada 🇨🇦 on March 30, 2020
Verified Purchase
I only purchased this book, because I wanted a reference book for Deep learning but could not wait for 2nd edition. Seeing the discounted price, I thougth I would go ahead with the purchase, and just buy 2nd edition again anyway later this year.

This review is not about the content of the book, but of the book's quality. Specifically I have a suspicion that the book I received was counterfeit. I say this for the following reasons:
1) there is an insert that allows me to download the e-book for free from the publisher's website. However, the insert is littered with typos, of the automatic OCR scan-to-text type. Eg link is tink, etc.
2) the binding looks a bit glue-gunned, especially to this insert
3) the graphics look pixelated (especially the graphs), the print looks like it was done in economode, and the paper is recycled/grey looking.

Therefore, be mindful of the purchase and gauge from the selling price. Remember that the MSRP is approx $65.
7 people found this helpful
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Rem Kim
3.0 out of 5 stars Book layout is awful, but book content is amazing
Reviewed in Canada 🇨🇦 on June 14, 2019
Verified Purchase
Don't get me wrong the book itself is AMAZING, its just the way its printed is completely awful. Every left page is so close to the middle I have to bend left pages very hard just so i can read it comfortably. EVERY LEFT PAGE.

But book itself is amazing and I will 100% suggest it to anyone who wants to get into Machine Deep Learning.
Customer image
Rem Kim
3.0 out of 5 stars Book layout is awful, but book content is amazing
Reviewed in Canada 🇨🇦 on June 14, 2019
Don't get me wrong the book itself is AMAZING, its just the way its printed is completely awful. Every left page is so close to the middle I have to bend left pages very hard just so i can read it comfortably. EVERY LEFT PAGE.

But book itself is amazing and I will 100% suggest it to anyone who wants to get into Machine Deep Learning.
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Customer image
Customer image
3 people found this helpful
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A. Gontcharov
5.0 out of 5 stars The BEST
Reviewed in Canada 🇨🇦 on November 23, 2018
Verified Purchase
This is hands down, the BEST book on Deep Learning for beginners. The author is super knowledgeable, covers all the state-of-the-art techniques, and is an absolutely amazing teacher. I couldn't put the book down. I followed all the step-by-step instructions, and finally took advantage of my GPU to train NNs. Highly recommended. I have tried many books until I stumbled upon this one. Plus, he is one of the creators of Keras!
One person found this helpful
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Siddharth
5.0 out of 5 stars A Masterpiece!
Reviewed in Canada 🇨🇦 on February 25, 2021
Verified Purchase
A masterpiece! I recommend this book to anyone who wants to learn deep learning.
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av1423
5.0 out of 5 stars shipped very fast
Reviewed in Canada 🇨🇦 on December 31, 2020
Verified Purchase
I'm happy with my purchase. The quality of the book and shipping was very satisfactory... It's recommended!
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