10 Best Deep Learning Books
Goal: Find the best Deep Learning books according to the internet (not just one person's opinion).
Method:
- Search for "best deep learning books" and study the top 5+ pages.
- Add only the books mentioned 2+ times.
- Rank the results neatly here.
10 Best Deep Learning Books
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Deep Learning
by Ian Goodfellow
Also recommended by:
Deep Learning
A Practitioner's Approach
by Josh Patterson
Deep Learning from Scratch
Building with Python from First Principles
by Seth Weidman
Deep Learning with Python
by Francois Chollet
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Concepts, Tools, and Techniques to Build Intelligent Systems
by Aurélien Géron
Deep Learning for Coders with Fastai and PyTorch
AI Applications Without a PhD
by Jeremy Howard
Grokking Deep Learning
by Andrew Trask
Hands-On Deep Learning Algorithms with Python
Master Deep Learning Algorithms with Extensive Math by Implementing Them Using TensorFlow
by Sudharsan Ravichandiran
Neural Networks and Deep Learning
by Michael Nielsen
Neural Networks and Deep Learning
A Textbook
by Charu C. Aggarwal
Sources
- 1
Top 7 Must Have Books for Deep Learning! - Analytics Vidhya
analyticsvidhya.com
- 2
7 Best Deep Learning Books📚 to Read in 2023
simplilearn.com
- 3
14 Best Deep Learning Books for Beginners and Experts in 2023
hackr.io
- 4
The 17 Best Deep Learning Books on Our Reading List
solutionsreview.com
- 5
Top 7 Must-Read Books on Deep Learning - GeeksforGeeks
geeksforgeeks.org
Edited by
Software engineer whose passion for tracking book recommendations from podcasts inspired the creation of MRB.
Lead investor at 3one4 Capital whose startup expertise and love for books helped shaped MRB and its growth.
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