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https://github.com/ahkarami/great-deep-learning-books

A Great Collection of Deep Learning (e)Books
https://github.com/ahkarami/great-deep-learning-books

books convolutional-neural-networks deep-learning deep-neural-networks ebooks keras machine-learning mxnet natural-language-processing pytorch recurrent-neural-networks reinforcement-learning speech-processing tensorflow

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A Great Collection of Deep Learning (e)Books

Host: GitHub
URL: https://github.com/ahkarami/great-deep-learning-books
Owner: ahkarami
License: mit
Created: 2020-04-03T20:14:56.000Z (almost 5 years ago)
Default Branch: master
Last Pushed: 2024-11-23T09:51:00.000Z (2 months ago)
Last Synced: 2025-01-20T09:06:26.821Z (13 days ago)
Topics: books, convolutional-neural-networks, deep-learning, deep-neural-networks, ebooks, keras, machine-learning, mxnet, natural-language-processing, pytorch, recurrent-neural-networks, reinforcement-learning, speech-processing, tensorflow
Size: 600 KB
Stars: 109
Watchers: 8
Forks: 27
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # Great-Deep-Learning-Books

A Great Collection of Deep Learning (e)Books



  



## My Book:

- [**_Deep Dive into Different Types of Convolutions for Deep Learning_**](https://leanpub.com/convolutions-for-deep-learning) [Theory-based from beginner to advanced level, contains many ideas, Great for Computer Vision, NLP, Speech processing engineers/researchers/students & also appropriate for data scientists]   



  



## Programming based:

- [Programming PyTorch for Deep Learning - by Ian Pointer](https://www.oreilly.com/library/view/programming-pytorch-for/9781492045342/) [General, **Excellent book**, based on PyTorch, Programming + Little theory, O’Reilly Publisher]  

- [AI and Machine Learning for Coders](https://www.oreilly.com/library/view/ai-and-machine/9781492078180/) [General, **Excellent book**, based on TensorFlow, Programming + Little theory, O’Reilly Publisher]  

- [Deep Learning with PyTorch](https://www.manning.com/books/deep-learning-with-pytorch) [General, Good, based on PyTorch, Programming + Little theory, Manning Publisher]    

- [Deep Learning with Python by Francois Chollet - 2nd edition](https://www.manning.com/books/deep-learning-with-python) [General, Good, based on Keras, Programming + Little theory, Manning Publisher]  

- [Dive into Deep Learning](http://d2l.ai/) [General, Good, based on Mxnet/PyTorch/TensorFlow/NumPy, Programming + theory, Free (support from Amazon)]  

- [Deep Learning for Coders With Fastai and Pytorch AI Applications Without a Phd](https://www.oreilly.com/library/view/deep-learning-for/9781492045519/) [General, Semi Good, based on PyTorch, Programming + Little theory, O’Reilly Publisher]   

- [Deep Learning for Coders With Fastai and Pytorch AI Applications Without a Phd - GitHub](https://github.com/fastai/fastbook)  

- [Grokking Deep Learning](https://www.manning.com/books/grokking-deep-learning) [General, Semi-Good, Theory in simple language + Programming, Manning Publisher]  

## General Theory-based Books:

- [Deep Learning Book, by Shelly Sheynin](https://github.com/shellysheynin/Deep-Learning-Book) [Good]    

- [Understanding Deep Learning](https://udlbook.github.io/udlbook/)  

## Deep Learning & Computer Vision:

- [Deep Learning for Vision Systems - by Elgendy](https://www.manning.com/books/deep-learning-for-vision-systems) [Computer Vision, Good, based on Keras, Programming + theory, Manning Publisher]  

## LLMs Books:

- [3 LLM-based Books](https://www.linkedin.com/posts/udaykamath_if-you-go-to-amazon-you-will-see-these-are-activity-7261047054104195072-I8S7?utm_source=share&utm_medium=member_desktop)  

## Deep Learning & NLP:

- [Practical Natural Language Processing](https://www.oreilly.com/library/view/practical-natural-language/9781492054047/) [NLP, Good, Programming + theory, O’Reilly Publisher]  

- [Natural Language Processing with PyTorch](https://www.oreilly.com/library/view/natural-language-processing/9781491978221/) [NLP, Good, Programming + theory, O’Reilly Publisher]    

- [Natural Language Processing with Transformers](https://www.oreilly.com/library/view/natural-language-processing/9781098103231/) [**Great**]  

## Reinforcement Learning:

- [Reinforcement Learning, An Introduction](https://mitpress.mit.edu/books/reinforcement-learning-second-edition) [by Richard S. Sutton, MIT Press]   

- [Deep Reinforcement Learning in Action](https://www.manning.com/books/deep-reinforcement-learning-in-action) [by Alexander Zai and Brandon Brown, Good, Programming + Theory, Manning Publisher]    

- [Deep Learning and the Game of Go](https://www.manning.com/books/deep-learning-and-the-game-of-go) [by Max Pumperla and Kevin Ferguson, Good, Programming + Theory, Manning Publisher]   

- [Grokking Deep Reinforcement Learning](https://www.manning.com/books/grokking-deep-reinforcement-learning) [by Miguel Morales, Good, Theory + Programming, Manning Publisher]  

## TinyML - Deep Learning on Embedded Devices & Mobile:

- [TinyML - Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers -- by Pete Warden & Daniel Situnayake](https://www.oreilly.com/library/view/tinyml/9781492052036/) [Good book, based on TensorFlow Lite on Arduino, Programming/Practical, O’Reilly Publisher]  

- [Practical Deep Learning for Cloud, Mobile, and Edge](https://www.oreilly.com/library/view/practical-deep-learning/9781492034858/) [Good book, based on Keras/TensorFlow, Programming/Practical, O’Reilly Publisher]  

- [AI and Machine Learning On-Device Development](https://www.oreilly.com/library/view/ai-and-machine/9781098101732/) [Good book, based on ML Kit/TensorFlow Lite/Core ML, Programming/Practical, O’Reilly Publisher]  

## GANs:

- [Generative Deep Learning - by David Foster](https://www.oreilly.com/library/view/generative-deep-learning/9781492041931/) [General (_i.e.,_ GAN for image/audio/text data), **Great book**, based on Keras, theory + Programming , O’Reilly Publisher]   

- [GANs in Action - by Jakub Langr, and Vladimir Bok](https://www.manning.com/books/gans-in-action) [Image based, Good, based on Keras, theory + Programming, Manning Publisher]  

## Machine Learning with JavaScript (ML with JS):

- [Deep Learning with JavaScript: Neural networks in TensorFlow.js](https://www.manning.com/books/deep-learning-with-javascript) [Good, based on JS, Programming + theory, Manning Publisher]   

- [Hands-on Machine Learning with JavaScript](https://www.packtpub.com/product/hands-on-machine-learning-with-javascript/9781788998246) [Programming + Little theory, packtpub]  

## Backend for Deep Learning & Machine Learning:

- [Kubeflow for Machine Learning](https://www.oreilly.com/library/view/kubeflow-for-machine/9781492050117/) [**Great book**, O’Reilly Publisher]  

- [Ansible for DevOps - Server and configuration management for humans](https://leanpub.com/ansible-for-devops)  

- [Ansible for Kubernetes - Automate app deployment on any scale with Ansible and K8s](https://leanpub.com/ansible-for-kubernetes)  

- [Cloud Native DevOps with Kubernetes](https://www.oreilly.com/library/view/cloud-native-devops/9781492040750/) [**Good book**, O’Reilly Publisher]  

- [Kubernetes: Up and Running, 2nd Edition](https://www.oreilly.com/library/view/kubernetes-up-and/9781492046523/)

- [Kubernetes in Action](https://www.manning.com/books/kubernetes-in-action)  

## Linux Learning:

- [Linux Pocket Guide, 3rd Edition, O’Reilly Publisher](https://www.oreilly.com/library/view/linux-pocket-guide/9781491927557/) [Great]  

## Books about Project Management & Business Issues:

- [INSPIRED: How to Create Tech Products Customers Love - 2nd Edition](https://www.wiley.com/en-us/INSPIRED%3A+How+to+Create+Tech+Products+Customers+Love%2C+2nd+Edition-p-9781119387503) [**Great book**, Wiley Publisher]   

- [Managing Humans: Biting and Humorous Tales of a Software Engineering Manager](https://www.apress.com/gp/book/9781484221570)  

- [The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers](https://hardthings.bhorowitz.com/)  

- [Cracking the PM Interview](https://www.crackingthepminterview.com/)  

- [Building Machine Learning Powered Applications](https://www.oreilly.com/library/view/building-machine-learning/9781492045106/)  

- [People + AI Guidebook (Google Book)](https://pair.withgoogle.com/guidebook) [Interesting]  

## Data Analysis & Data Science Books:

- [Python for Data Analysis, 2nd Edition](https://www.oreilly.com/library/view/python-for-data/9781491957653/)     

- [Data Science from Scratch, 2nd Edition](https://www.oreilly.com/library/view/data-science-from/9781492041122/)   

- [Hands-On Exploratory Data Analysis with Python](https://www.packtpub.com/product/hands-on-exploratory-data-analysis-with-python/9781789537253)   

## Web Scraping:

- [Mining the Social Web, 3rd Edition](https://www.oreilly.com/library/view/mining-the-social/9781491973547/)   

- [Web Scraping with Python, 2nd Edition](https://www.oreilly.com/library/view/web-scraping-with/9781491985564/)   

- [Practical Web Scraping for Data Science, Apress Publisher](https://link.springer.com/book/10.1007/978-1-4842-3582-9)   

## Python Programming Books:

- [Python Tricks: The Book](https://dbader.org/products/) [Intermediate & Advanced Level, & **Great**]    

- [Python 101](https://leanpub.com/py101/)   

- [Python Crash Course, 2nd Edition](https://nostarch.com/pythoncrashcourse2e)    

- [Daily Coding Problem](https://www.dailycodingproblem.com/blog/daily-coding-problem-book-now-available/) [Great]     

- [Cracking the Coding Interview](https://www.crackingthecodinginterview.com/)   

- [Cracking the Coding Interview - Solutions](https://github.com/careercup/CtCI-6th-Edition)   

## Statistics:

- [Practical Statistics for Data Scientists, 2nd Edition](https://www.oreilly.com/library/view/practical-statistics-for/9781492072935/)  

- [Naked Statistics](https://wwnorton.com/books/naked-statistics/)  

- [Bayesian Modeling and Computation in Python](https://bayesiancomputationbook.com/welcome.html)

- [How to Lie with Statistics Book](https://www.google.nl/books/edition/How_to_Lie_with_Statistics/2oZGEAAAQBAJ?hl=en&gbpv=1&printsec=frontcover)  

## Math Books:

- [Everything You Always Wanted to Know About Mathematics](https://www.linkedin.com/posts/eric-vyacheslav-156273169_this-maths-book-is-trending-on-hacker-news-activity-7237822306553602050-GQLF?utm_source=share&utm_medium=member_desktop)  

## Other:

- [Artificial Intelligence in Finance](https://www.oreilly.com/library/view/artificial-intelligence-in/9781492055426/) [Deep Learning + Finance & Data Science, Good, Programming + theory, O’Reilly Publisher]    

- [Best Machine Learning Books (Updated for 2020)](https://blog.floydhub.com/best-machine-learning-books/)  

- [Designing Machine Learning Systems](https://www.oreilly.com/library/view/designing-machine-learning/9781098107956/)  

- [Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI](https://arxiv.org/abs/2201.00650) [Interesting]   

- [Harvard CS197: AI Research Experiences - The Course Book](https://docs.google.com/document/u/0/d/1uvAbEhbgS_M-uDMTzmOWRlYxqCkogKRXdbKYYT98ooc/mobilebasic#heading=h.bko37p9m9o8g) [**Excellent**]