---
product_id: 53553424
title: "Deep Learning with Python"
price: "$434503"
currency: COP
in_stock: true
reviews_count: 8
url: https://www.desertcart.co/products/53553424-deep-learning-with-python
store_origin: CO
region: Colombia
---

# Practical Python applications Premium quality print Hands-on deep learning focus Deep Learning with Python

**Price:** $434503
**Availability:** ✅ In Stock

## Summary

> 📚 Unlock the future of AI with hands-on Python mastery!

## Quick Answers

- **What is this?** Deep Learning with Python
- **How much does it cost?** $434503 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.co](https://www.desertcart.co/products/53553424-deep-learning-with-python)

## Best For

- Customers looking for quality international products

## Why This Product

- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Key Features

- • **Trusted by Thousands of Readers:** 4.6-star rating from 1,486 reviews proves its value and impact.
- • **Perfect Gift for Data Enthusiasts:** Ideal for professionals and managers looking to upskill or inspire their teams.
- • **Master Deep Learning Without the Math:** Focus on practical programming with Keras, no heavy math required.
- • **Premium Quality Print for Your Collection:** Durable, high-quality material that stands out on your bookshelf.
- • **Boost Your Career with Cutting-Edge Skills:** Learn deep learning concepts that are highly sought after in tech industries.

## Overview

Deep Learning with Python by Francois Chollet is a top-rated, practical guide that demystifies deep learning through programming rather than complex math. Perfect for professionals eager to apply AI concepts using Python and Keras, this premium-quality book is a must-have for anyone looking to stay ahead in the fast-evolving tech landscape.

## Description

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

Review: Another excellent overview of Deep Learning - I have bought 10 books on ML/DL, and of those this is the 9th book that I have read (actually I have just started reading this book, but it's been so good thus far that I wanted to write a review.) As another reviewer noted, one should read other books on ML/DI to get a deeper understanding of the topic. This book explains using programs instead of using much mathematics. The advantage that I have had is my review of the same topics from other perspectives in books such as the following Intro to statistical learning (by Hastie et al) Intro to Machine Learning (by Alpaydin) Deep Learning (by Goodfellow, Bengio etc) Hands-on ML w SciKit, Keras and Tensorflow (by Geron) When I first tried to read this book by Chollet in early April I was not as conversant with Python, and so I took a break and decided to brush up my limited Python knowledge by going through the first 6 chapters of "Automate the Boring Stuff with Python" (by Sweigert). Now that I have more knowledge of Python this book by Chollet is so much more comprehensible. As I said I have the advantage of having learned many of these concepts earlier. I love Chollet's interpretation and explanations. I wish I could do the exercises but am having difficulty setting up the GPU machine. The problem I am dealing with with this book by Chollet is the setup of a GPU machine in the desertcart Cloud. If anyone can help me that would be greatly appreciated (I understand that this is not the forum to seek technical help on AWS, but I thought I'd give it a try)
Review: Very practical and useful overview of deep learning - Coming from a non-data science background (IT networking), data science is an add-on skill to my foundation. I do not need to fully understand all of the mathematical theory - instead I need to know how to use deep learning to develop use-cases. I bought this book to understand what I could do with deep learning in Keras. I got so much more than I expected. Having written a single chapter in my own book about algorithms in general, I understand the challenges of trying to explain algorithms enough for general understanding, while not getting too far down the rabbit hole. I thought this book went to a perfect depth to understand the possibilities with deep learning, and to get hands on creating useful outcomes. Thanks Francois for the time well spent.

## Features

- Care instruction: Keep away from fire
- It can be used as a gift
- It is made up of premium quality material.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #214,058 in Books ( See Top 100 in Books ) #76 in Python Programming #76 in Computer Neural Networks #459 in Artificial Intelligence & Semantics |
| Customer Reviews | 4.6 out of 5 stars 1,486 Reviews |

## Images

![Deep Learning with Python - Image 1](https://m.media-amazon.com/images/I/71WIpYDDqqL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Another excellent overview of Deep Learning
*by S***A on May 9, 2020*

I have bought 10 books on ML/DL, and of those this is the 9th book that I have read (actually I have just started reading this book, but it's been so good thus far that I wanted to write a review.) As another reviewer noted, one should read other books on ML/DI to get a deeper understanding of the topic. This book explains using programs instead of using much mathematics. The advantage that I have had is my review of the same topics from other perspectives in books such as the following Intro to statistical learning (by Hastie et al) Intro to Machine Learning (by Alpaydin) Deep Learning (by Goodfellow, Bengio etc) Hands-on ML w SciKit, Keras and Tensorflow (by Geron) When I first tried to read this book by Chollet in early April I was not as conversant with Python, and so I took a break and decided to brush up my limited Python knowledge by going through the first 6 chapters of "Automate the Boring Stuff with Python" (by Sweigert). Now that I have more knowledge of Python this book by Chollet is so much more comprehensible. As I said I have the advantage of having learned many of these concepts earlier. I love Chollet's interpretation and explanations. I wish I could do the exercises but am having difficulty setting up the GPU machine. The problem I am dealing with with this book by Chollet is the setup of a GPU machine in the Amazon Cloud. If anyone can help me that would be greatly appreciated (I understand that this is not the forum to seek technical help on AWS, but I thought I'd give it a try)

### ⭐⭐⭐⭐⭐ Very practical and useful overview of deep learning
*by J***T on February 11, 2019*

Coming from a non-data science background (IT networking), data science is an add-on skill to my foundation. I do not need to fully understand all of the mathematical theory - instead I need to know how to use deep learning to develop use-cases. I bought this book to understand what I could do with deep learning in Keras. I got so much more than I expected. Having written a single chapter in my own book about algorithms in general, I understand the challenges of trying to explain algorithms enough for general understanding, while not getting too far down the rabbit hole. I thought this book went to a perfect depth to understand the possibilities with deep learning, and to get hands on creating useful outcomes. Thanks Francois for the time well spent.

### ⭐⭐⭐⭐⭐ Read it cover to cover :)
*by A***Z on May 19, 2022*

Read this cover to cover for my senior project and loved every minute of it, Francois Chollet was somehow able to make a textbook into a page turner, explaining challenging concepts conceptually while giving implementation examples. I also got the second addition and I would recommend using that one just so you are working through up-to-date examples with tensorflow/keras. The field of deep learning is really vast and Chollet covers an impressive amount in this book mostly at a relatively high/applied level, which I think is a good thing. There were a few of the later chapters I wish he went into more depth with, for the advanced computer vision chapter I really which he had touched on some more modern architectures like Mask- RCNN and other stuff

## Frequently Bought Together

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

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*Product available on Desertcart Colombia*
*Store origin: CO*
*Last updated: 2026-02-21*