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Best Deep Learning Books You Must Read

Below I’ll give you my selections for the best Deep Learning books by a few categories. I will cover these and other great books more in depth later.

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (2017)

 Best Deep Learning Books You Must Read.Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.
Author(s): Aurélien Géron

The Hundred-Page Machine Learning Book (2019)

 Best Deep Learning Books You Must Readto avoid counterfeit, make sure that the book . Avoid third-party sellers. , Research Director at Google, co-author of , the most popular AI textbook in the world: “Burkov has undertaken a very useful but impossibly hard task in reducing all of machine learning to 100 pages.
Author(s): Andriy Burkov

Mastering Deep Learning Fundamentals with Python: The Absolute Ultimate Guide for Beginners To Expert and Step By Step Guide to Understand Python Programming Concepts (2019)

 Best Deep Learning Books You Must Read★★Buy the Paperback Version of this Book and get the Kindle Book version for FREE ★★Step into the fascinating world of data science..You to participate in the revolution that brings artificial intelligence back to the heart of our society, thanks to data scientists.Data science consists in translating problems of any other nature into quantita…
Author(s): Richard Wilson

Grokking Deep Learning (2019)

 Best Deep Learning Books You Must ReadGrokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Author(s): Andrew Trask

Deep Learning (MIT Press Essential Knowledge series) (2019)

 Best Deep Learning Books You Must ReadDeep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications.
Author(s): John D. Kelleher

Deep Learning: A Practitioner’s Approach (2017)

 Best Deep Learning Books You Must ReadAlthough interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization?
Author(s): Josh Patterson, Adam Gibson

Deep Learning and the Game of Go (2019)

 Best Deep Learning Books You Must ReadDeep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you’ll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Author(s): Max Pumperla, Kevin Ferguson

Deep Learning Cookbook: Practical Recipes to Get Started Quickly (2018)

 Best Deep Learning Books You Must ReadDeep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field.
Author(s): Douwe Osinga

Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more (2018)

 Best Deep Learning Books You Must ReadKey Features Book DescriptionRecent developments in reinforcement learning (RL), combined with deep learning (DL), have seen unprecedented progress made towards training agents to solve complex problems in a human-like way.
Author(s): Maxim Lapan

Deep Learning with R (2018)

 Best Deep Learning Books You Must ReadDeep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples.
Author(s): Francois Chollet, J. J. Allaire

Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning (2019)

 Best Deep Learning Books You Must Read“authoritative, funny, and concise”Steven Strogatz, Professor of Applied Mathematics, Cornell University.The brain has always had a fundamental advantage over conventional computers: it can learn. However, a new generation of artificial intelligence algorithms, in the form of deep neural networks, is rapidly eliminating that advantage.
Author(s): James V Stone

Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data (2019)

 Best Deep Learning Books You Must ReadMany industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to the holy grail in AI research, the so-called general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied; this is where unsupervised learning comes in.
Author(s): Ankur A. Patel

Best Deep Learning Books You Must Read

We highly recommend you to buy all paper or e-books in a legal way, for example, on Amazon. But sometimes it might be a need to dig deeper beyond the shiny book cover. Before making a purchase, you can visit resources like Library Genesis and download some deep learning books mentioned below at your own risk. Once again, we do not host any illegal or copyrighted files, but simply give our visitors a choice and hope they will make a wise decision.

Deep Learning Pipeline: Building A Deep Learning Model With TensorFlow

Author(s): Hisham El-Amir, Mahmoud Hamdy
ID: 2452069, Publisher: 2020, Year: Apress, Size: 12 Mb, Format: pdf

Deep Learning With Pytorch. Code

Author(s): Eli Stevens, Luca Antiga, Thomas Viehmann
ID: 2551178, Publisher: Manning Pubns Co, Year: 2021, Size: 169 Mb, Format: zip

Handbook of Deep Learning in Biomedical Engineering: Techniques and Applications

Author(s): Valentina Emilia Balas, Brojo Kishore Mishra, Raghvendra Kumar
ID: 2831815, Publisher: , Year: 2021, Size: 14 Mb, Format: pdf

Please note that this booklist is not definite. Some books are really hot items according to Washington Post, others are written by unknown authors. On top of that, you can always find additional tutorials and courses on Coursera, Udemy or edX, for example. Are there any other relevant links you could recommend? Leave a comment if you have any feedback on the list.

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