--- product_id: 53553424 title: "Deep Learning with Python" price: "387 zł" currency: PLN in_stock: true reviews_count: 13 url: https://www.desertcart.pl/products/53553424-deep-learning-with-python store_origin: PL region: Poland --- # Practical Python applications Premium quality print Hands-on deep learning focus Deep Learning with Python **Price:** 387 zł **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?** 387 zł with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.pl](https://www.desertcart.pl/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 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 book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology 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. About the Book 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 book 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. What's Inside 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 About the Reader Readers need intermediate Python skills. No previous experience with Keras, Tensor Flow, or machine learning is required. About the Author 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 Tensor Flow 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. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupiter notebooks on an EC2 GPU instance. 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: Read it cover to cover :) - 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 ## 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 | #282,377 in Books ( See Top 100 in Books ) #87 in Computer Neural Networks #164 in Python Programming #649 in Artificial Intelligence & Semantics | | Customer Reviews | 4.6 out of 5 stars 1,489 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) ### ⭐⭐⭐⭐⭐ 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 ### ⭐⭐⭐⭐⭐ Best Introduction Book *by J***T on December 3, 2023* This is probably the best into to Deep Learning one could get. Author just knows how to speak clearly, give information at the appropriate time, is well structured and still gives some very in dept info. It is limited to deep learner but that’s why its called what it is. The author dabbles in other areas so the reader is aware of other things in AI. Definitely a good starting point for someone with some programming chops but new to AI. ## 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 --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.pl/products/53553424-deep-learning-with-python](https://www.desertcart.pl/products/53553424-deep-learning-with-python) --- *Product available on Desertcart Poland* *Store origin: PL* *Last updated: 2026-05-23*