---
product_id: 309765995
title: "Deep Learning with Python"
price: "$520"
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reviews_count: 13
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---

# Deep Learning with Python

**Price:** $520
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- **What is this?** Deep Learning with Python
- **How much does it cost?** $520 with free shipping
- **Is it available?** Yes, in stock and ready to ship
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## Description

From the brand Manning is a publisher of computer books, videos and projects for software developers, engineers, architects, system administrators, managers and all who are professionally involved with the computer business. We also publish for students and young programmers, including occasionally for children. How we get our start? We published our first book in 1993 and have been learning from our successes, and even more from our mistakes, ever since. Every new book teaches us something that helps us improve. What makes our products unique? "Independent" means we are not owned by a large corporate entity and are free to make our own decisions. This has allowed us to innovate and be flexible and to quickly adjust what we do as we go. What do we publish? We publish standalone titles as well as a number of book series. How we get our start? We published our first book in 1993 and have been learning from our successes, and even more from our mistakes, ever since. Every new book teaches us something that helps us improve. What makes our products unique? "Independent" means we are not owned by a large corporate entity and are free to make our own decisions. This has allowed us to innovate and be flexible and to quickly adjust what we do as we go. What do we publish? We publish standalone titles as well as a number of book series. More from Manning Visit the store More from Manning Visit the store In Action Books Introduces new technologies to working technical professionals. Typically intermediate level. In Action Books Introduces new technologies to working technical professionals. Typically intermediate level. In Practice Books Cook-book-style references, generally organized in order of difficulty. Typically intermediate level. In Practice Books Cook-book-style references, generally organized in order of difficulty. In Depth Books “second” books on technical topics that cover key areas a greater levels of depth and detail. Typically intermediate-advanced level. In Depth Books “second” books on technical topics that cover key areas a greater levels of depth and detail. Typically intermediate-advanced level. In a Month of Lunches Books Introduces core technical topics via a series of small lab-based lessons that should each take about 30-45 minutes to complete. In a Month of Lunches Books Introduces core technical topics via a series of small lab-based lessons that should each take about 30-45 minutes to complete. Grokking Books Tutorials with a graphical teaching style designed to offer a deep understanding of a technologies foundations. Grokking Books Tutorials with a graphical teaching style designed to offer a deep understanding of a technologies foundations. Get Programming Books Structured tutorials built around hands-on exercises and progressively more difficult capstone projects Get Programming Books Structured tutorials built around hands-on exercises and progressively more difficult capstone projects Bookcamp Books Collections of 6-10 medium-sized projects similar to what a reader will face on the job. Typically intermediate level. Bookcamp Books Collections of 6-10 medium-sized projects similar to what a reader will face on the job. Hello! Books Designed to be a gentle first book on a technical topic. Beginner level. Hello! Books Designed to be a gentle first book on a technical topic. Beginner level.

Review: Absolutely excellent in depth practical explanation - It's been years since I read a software book cover to cover, methodically. This one is well worth a second or third read if you are interested in Tensorflow and Keras or neural networks in general. His crumpled paper analogy early on alerted me to the intuitive depth of this book. You do need just enough understand of linear algebra to appreciate what a vector space is to fully appreciate this analogy (this is not as hard as it sounds either, I promise. If you can do the first few videos on Khan Academy for linear algebra or half hour with a good tutorial, you'll be more than fine). He avoids too much reliance on equations as the means of explanation, which for me, with barley enough linear algebra to tell a dot from a cross product, is great. To be clear, it is best (in this whole field actually) if you understand differential calculus sufficient to appreciate the result of the power rule is a function not a number, and the afore mentioned linear algebra. If you spend an hour assuring yourself you can at least vaguely grasp this, then the more involved explanations will be very straightforwards. I emphasise this aspect because it's my own weakness - I have to work to focus on simple equations. To make simple to intermediate models, following this book you still won't need much, if any depth of the maths skill, so don't let my mention of it out you off. It's a great solidly practical and wide ranging exploration of doing many tasks with deeplearning. I recommend it with the Coursera developer certificate from DeepAi to any total beginner in neural networks. Python knowledge needed? I've coded with Python for approximately ten hours of actual experience but I am a software developer. So either good experience in other languages or the ability to work with simple python constructs and classes. A beginners course will help suffice it if you really don't have either. The second book pictured is also excellent, worth taking in when you've gotten halfway through this one. The author recommends it and he's absolutely right.
Review: Clear Explanation of Concepts, but Keras May Not Be the Best Choice - To me, this book is great—it clarifies the concepts very well. However, it would be much better if it used PyTorch instead of Keras.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | 347,743 in Books ( See Top 100 in Books ) 443 in Introduction to Programming |
| Customer reviews | 4.7 4.7 out of 5 stars (440) |
| Dimensions  | 18.73 x 3.3 x 23.5 cm |
| Edition  | 1st |
| ISBN-10  | 1617296864 |
| ISBN-13  | 978-1617296864 |
| Item weight  | 1.07 kg |
| Language  | English |
| Print length  | 400 pages |
| Publication date  | 7 April 2022 |
| Publisher  | Manning Publications |

## Images

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

## Customer Reviews

### ⭐⭐⭐⭐⭐ Absolutely excellent in depth practical explanation
*by S***E on 14 July 2023*

It's been years since I read a software book cover to cover, methodically. This one is well worth a second or third read if you are interested in Tensorflow and Keras or neural networks in general. His crumpled paper analogy early on alerted me to the intuitive depth of this book. You do need just enough understand of linear algebra to appreciate what a vector space is to fully appreciate this analogy (this is not as hard as it sounds either, I promise. If you can do the first few videos on Khan Academy for linear algebra or half hour with a good tutorial, you'll be more than fine). He avoids too much reliance on equations as the means of explanation, which for me, with barley enough linear algebra to tell a dot from a cross product, is great. To be clear, it is best (in this whole field actually) if you understand differential calculus sufficient to appreciate the result of the power rule is a function not a number, and the afore mentioned linear algebra. If you spend an hour assuring yourself you can at least vaguely grasp this, then the more involved explanations will be very straightforwards. I emphasise this aspect because it's my own weakness - I have to work to focus on simple equations. To make simple to intermediate models, following this book you still won't need much, if any depth of the maths skill, so don't let my mention of it out you off. It's a great solidly practical and wide ranging exploration of doing many tasks with deeplearning. I recommend it with the Coursera developer certificate from DeepAi to any total beginner in neural networks. Python knowledge needed? I've coded with Python for approximately ten hours of actual experience but I am a software developer. So either good experience in other languages or the ability to work with simple python constructs and classes. A beginners course will help suffice it if you really don't have either. The second book pictured is also excellent, worth taking in when you've gotten halfway through this one. The author recommends it and he's absolutely right.

### ⭐⭐⭐⭐⭐ Clear Explanation of Concepts, but Keras May Not Be the Best Choice
*by S***D on 1 January 2024*

To me, this book is great—it clarifies the concepts very well. However, it would be much better if it used PyTorch instead of Keras.

### ⭐⭐⭐⭐⭐ Excellent deep learning tutorial
*by D***S on 24 January 2023*

Deep learning tutorial, excellently balanced between hands-on examples and deeper concepts explained in an intuitive, non-mathematical way. Very well structured chapters explain step by step the workflow for framing, developing and deploying a real world model. Easy to follow, uses informal language, but with great depth. Highly recommended.

## 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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*Last updated: 2026-02-23*