---
product_id: 308988814
title: "Deep Learning with Python, Second Edition"
price: "$170"
currency: BND
in_stock: true
reviews_count: 13
url: https://brunei.desertcart.com/products/308988814-deep-learning-with-python-second-edition
store_origin: BN
region: Brunei
---

# Deep Learning with Python, Second Edition

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- **What is this?** Deep Learning with Python, Second Edition
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## Description

Deep Learning with Python, Second Edition [Chollet, Francois] on desertcart.com. *FREE* shipping on qualifying offers. Deep Learning with Python, Second Edition

Review: Introductory tour with unmatched insights from a giant in the field - This book is ideally suited to people who want a meaningful introduction into the most important contemporary concepts in Deep Learning. The book is accessible to people who lack both programming and linear algebra. Neither are needed to get a full understanding of everything the book offers. IMO, the greatest moments in the book are the asides that appear in every chapter. The author will take a paragraph to note in passing things like '... no one really knows for sure why batch normalization helps. There are various hypotheses, but no certitudes." Or, "Importantly, I would generally recommend placing the previous layer's activation after the batch normalization layer (although this is still a subject of debate)." There is even an entire chapter dedicated to musings on the future of Deep Learning and general AI. This is the cherry on top that you don't get with most offers. Chollet offers them in nearly every chapter. The book may as well have been called "Deep Learning with Keras" and that's not a bad thing. All the code is freely downloadable and can be run for free on a Google platform. You can freely ignore the implementation details and Python and simply run and learn from the notebooks provided. NOTE: As of February 2022, the new M1 Macs have bugs in the implementation of tensorflow that prevent a few code samples from working correctly. AND, some examples take so long to run (many hours) that there may be issues running them at Google. Frustrating though it might be, it does not detract from the experience. As to cons, I don't see enough to warrant taking a star off the review. All important concepts are covered at an introductory level. The code works. The writing is clear. The author is an expert. There is a bizarre convention of having diagrams flow from the bottom to the top instead of top-down. It's a good intro and basic reference. You'll get into more depth by taking the OpenAI courses at Coursera, but I'd actually recommend those as a next step after fully absorbing this book. Recommended. While the book is titled "Deep Learning with Python", it might have been better titled, "Deep Learning with Keras." While Python is ostensibly
Review: Very thorough with access to GPT actual data - Good, here is how it works information and plenty of programming examples where you create a minimal LLM system. Easy to understand and the author goes to great lengths to ensure you understand what's required. If you are just out of college and want to get into this discipline, this is a book you should understand before you do your first interview. Note that you probably don't have a computer capable of LLM development by yourself. Go price an NVidia A100.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #268,827 in Books ( See Top 100 in Books ) #68 in Computer Neural Networks #128 in Python Programming #157 in Computer Programming Languages |
| Customer Reviews | 4.8 4.8 out of 5 stars (459) |
| Dimensions  | 7.38 x 1.3 x 9.25 inches |
| Edition  | 2nd |
| ISBN-10  | 1617296864 |
| ISBN-13  | 978-1617296864 |
| Item Weight  | 2.35 pounds |
| Language  | English |
| Print length  | 504 pages |
| Publication date  | December 21, 2021 |
| Publisher  | Manning |

## Images

![Deep Learning with Python, Second Edition - Image 1](https://m.media-amazon.com/images/I/717vXoWd3OL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Introductory tour with unmatched insights from a giant in the field
*by B***T on February 3, 2022*

This book is ideally suited to people who want a meaningful introduction into the most important contemporary concepts in Deep Learning. The book is accessible to people who lack both programming and linear algebra. Neither are needed to get a full understanding of everything the book offers. IMO, the greatest moments in the book are the asides that appear in every chapter. The author will take a paragraph to note in passing things like '... no one really knows for sure why batch normalization helps. There are various hypotheses, but no certitudes." Or, "Importantly, I would generally recommend placing the previous layer's activation after the batch normalization layer (although this is still a subject of debate)." There is even an entire chapter dedicated to musings on the future of Deep Learning and general AI. This is the cherry on top that you don't get with most offers. Chollet offers them in nearly every chapter. The book may as well have been called "Deep Learning with Keras" and that's not a bad thing. All the code is freely downloadable and can be run for free on a Google platform. You can freely ignore the implementation details and Python and simply run and learn from the notebooks provided. NOTE: As of February 2022, the new M1 Macs have bugs in the implementation of tensorflow that prevent a few code samples from working correctly. AND, some examples take so long to run (many hours) that there may be issues running them at Google. Frustrating though it might be, it does not detract from the experience. As to cons, I don't see enough to warrant taking a star off the review. All important concepts are covered at an introductory level. The code works. The writing is clear. The author is an expert. There is a bizarre convention of having diagrams flow from the bottom to the top instead of top-down. It's a good intro and basic reference. You'll get into more depth by taking the OpenAI courses at Coursera, but I'd actually recommend those as a next step after fully absorbing this book. Recommended. While the book is titled "Deep Learning with Python", it might have been better titled, "Deep Learning with Keras." While Python is ostensibly

### ⭐⭐⭐⭐⭐ Very thorough with access to GPT actual data
*by M***E on February 26, 2025*

Good, here is how it works information and plenty of programming examples where you create a minimal LLM system. Easy to understand and the author goes to great lengths to ensure you understand what's required. If you are just out of college and want to get into this discipline, this is a book you should understand before you do your first interview. Note that you probably don't have a computer capable of LLM development by yourself. Go price an NVidia A100.

### ⭐⭐⭐⭐⭐ Fantastic Intro to AI that gets into the Details
*by J***M on February 7, 2025*

Fantastic book. Early chapters explain the history and basics of what goes into an AI system. The author is a great writer and is easy to understand. The book is printed on high-quality paper and is in color. I highly recommend this book if you are starting to learn about AI.

## Frequently Bought Together

- Deep Learning with Python, Second Edition
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
- Deep Learning (Adaptive Computation and Machine Learning series)

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*Product available on Desertcart Brunei*
*Store origin: BN*
*Last updated: 2026-02-26*