--- product_id: 54355449 title: "Deep Learning with Python" price: "304.38 DT" currency: TND in_stock: true reviews_count: 13 url: https://www.desertcart.tn/products/54355449-deep-learning-with-python store_origin: TN region: Tunisia --- # Fast-track your AI skills Python-centric practical examples Comprehensive deep learning guide Deep Learning with Python **Price:** 304.38 DT **Availability:** βœ… In Stock ## Summary > πŸš€ Code your way to AI mastery with Python-powered deep learning! ## Quick Answers - **What is this?** Deep Learning with Python - **How much does it cost?** 304.38 DT with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.tn](https://www.desertcart.tn/products/54355449-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 - β€’ **Practical Over Theory:** Skip heavy mathβ€”focus on actionable skills and immediate application. - β€’ **Trusted & Highly Rated:** Join 1,440+ readers who gave it a 4.5-star rating for clarity and impact. - β€’ **Hands-On Python Mastery:** Dive into real Python/Keras code to build deep learning models from day one. - β€’ **Image & Text Processing Focus:** Master the two hottest AI applications shaping today's tech landscape. - β€’ **Accessible for Intermediate Coders:** Designed for Python users ready to level up without getting lost in jargon. ## Overview Deep Learning with Python is a hands-on, practical guide that empowers intermediate Python programmers to quickly build and understand deep learning models. Focusing on real-world applications like image and text processing, it prioritizes actionable coding skills over complex theory, making it the go-to resource for professionals eager to upskill in AI with clarity and confidence. ## Description DESCRIPTION Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python is structured around a series of practical code examples that illustrate each new concept introduced and demonstrate best practices. By the time you reach the end of this book, you will have become a Keras expert and will be able to apply deep learning in your own projects. KEY FEATURES β€’ Practical code examples β€’ In-depth introduction to Keras β€’ Teaches the difference between Deep Learning and AI ABOUT THE TECHNOLOGY Deep learning is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more. AUTHOR BIO Francois Chollet is the author of Keras, one of the most widely used libraries for deep learning in Python. He has been working with deep neural networks since 2012. Francois is currently doing deep learning research at Google. He blogs about deep learning at blog.keras.io. Review: Practical and easy to learn from - This is a hands on practical book for people who want to get into deep learning quickly. It requires knowledge of python but almost no knowledge of AI, explaining for instance the basic concepts of annotation, labelled instances and the difference between supervised and unsupervised learning. It starts with a series on simple practical examples which the reader can easily reproduce and explore alone. The explanations are readable and understandable away from a computer (I read much of it on holiday). It then goes into detail of the two most advanced applications of deep learning - image processing and text processing. The notation throughout is python rather than formal mathematical notation. If you like reading code but don't like reading matrix equations, this will be ideal. The one possible shortcoming is that it veers heavily to the practical side and isn't concerned with the theory. Thus it doesn't explain how backprop works or even give you the equations, merely noting that most packages automate them so you might as well not waste your time and get on with learning how to do it. This is perhaps a wise approach since Hinton's excellent coursera lectures are freely available and are both accessible and rigorous. Review: An excellent book. You will learn much. - This book is written by someone who clearly has two major abilities: they have a love of the subject, and they communicate it clearly. The book contains real examples of Python/Keras code to do deep learning on standard data sets. Some knowledge of Python is required, but I think that any competent programmer can get this as they go along. I certainly improved my Python while working through the examples. The author makes clear their belief that a Linux system is required to do the examples in the book. This is the author's only major mistake. I have tried the examples under Windows 10/Anaconda 3 and they simply work. Perhaps the GPU based examples work better under Linux - I didn't try these. After finishing the book, the reader will be well placed to know the basics of deep learning, and to take the subject further. ## 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 | 307,710 in Books ( See Top 100 in Books ) 70 in Manipulating & Editing Photographs 1,637 in Computing & Internet Programming | | Customer Reviews | 4.6 out of 5 stars 1,442 Reviews | ## Images ![Deep Learning with Python - Image 1](https://m.media-amazon.com/images/I/71WIpYDDqqL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Practical and easy to learn from *by H***N on 13 November 2018* This is a hands on practical book for people who want to get into deep learning quickly. It requires knowledge of python but almost no knowledge of AI, explaining for instance the basic concepts of annotation, labelled instances and the difference between supervised and unsupervised learning. It starts with a series on simple practical examples which the reader can easily reproduce and explore alone. The explanations are readable and understandable away from a computer (I read much of it on holiday). It then goes into detail of the two most advanced applications of deep learning - image processing and text processing. The notation throughout is python rather than formal mathematical notation. If you like reading code but don't like reading matrix equations, this will be ideal. The one possible shortcoming is that it veers heavily to the practical side and isn't concerned with the theory. Thus it doesn't explain how backprop works or even give you the equations, merely noting that most packages automate them so you might as well not waste your time and get on with learning how to do it. This is perhaps a wise approach since Hinton's excellent coursera lectures are freely available and are both accessible and rigorous. ### ⭐⭐⭐⭐⭐ An excellent book. You will learn much. *by M***G on 27 June 2019* This book is written by someone who clearly has two major abilities: they have a love of the subject, and they communicate it clearly. The book contains real examples of Python/Keras code to do deep learning on standard data sets. Some knowledge of Python is required, but I think that any competent programmer can get this as they go along. I certainly improved my Python while working through the examples. The author makes clear their belief that a Linux system is required to do the examples in the book. This is the author's only major mistake. I have tried the examples under Windows 10/Anaconda 3 and they simply work. Perhaps the GPU based examples work better under Linux - I didn't try these. After finishing the book, the reader will be well placed to know the basics of deep learning, and to take the subject further. ### ⭐⭐⭐⭐⭐ The best introduction to this very interesting field that I have found *by S***E on 7 February 2018* This book is making something as intricate and advanced as deep learning understandable in a very clear and concise way. If you want to get started with Keras, deep learning, neural networks and all that - this is one of the best books I've ever seen. If not the best. It doesn't go full tilt into all the mathematics behind it - something I appreciate - but it sure gives you enough to get you started as well as a good way towards the more advanced subjects in this field. If you want all the formulas and algorithms behind this - there are better books but if you want to hit the ground running this is the book for you. I don't think I can recommend this book highly enough. ## 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? - πŸ›’ **Trusted by 1.3+ Million Shoppers** β€” Serving international shoppers since 2016 - 🌍 **Shop Globally** β€” Access 737+ million products across 21 categories - πŸ’° **No Hidden Fees** β€” All customs, duties, and taxes included in the price - πŸ”„ **15-Day Free Returns** β€” Hassle-free returns (30 days for PRO members) - πŸ”’ **Secure Payments** β€” Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** β€” Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.tn/products/54355449-deep-learning-with-python](https://www.desertcart.tn/products/54355449-deep-learning-with-python) --- *Product available on Desertcart Tunisia* *Store origin: TN* *Last updated: 2026-06-12*