AI · alternatives · 2026

24 alternatives to O’Reilly Fundamentals of Deep Learning

Designing next-generation Artificial intelligence algorithms

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. O’Reilly Fundamentals of Deep Learning launched in 2016; newer entries below may have overtaken it.

1. 1
   Deep Learning▲67

   The textbook for modern machine learning

   2016 · amazon.com · its alternatives →

2. 2
   O'Reilly Bots - #14 - Richard Socher on the future of deep learning▲73

   Salesforce Chief Scientist/MetaMind founder on neural nets

   2016 · oreilly.com · its alternatives →

3. 3
   Neural Networks and Deep Learning▲95

   Core concepts behind neural networks and deep learning

   2015 · neuralnetworksanddeeplearning.com · its alternatives →

4. 4
   Sonnet▲134

   A new library for constructing neural networks from DeepMind

   2017 · deepmind.google · its alternatives →

5. 5
   WhatTheFIsML▲110

   An illustrated guide to understanding Machine Learning

   2016 · its alternatives →

6. 6
   Deep Learning▲2

   A Sensible Guide Presenting the Concepts of Deep Learning

   2018 · amazon.com · its alternatives →

7. 7
   The Master Algorithm▲70

   Everything you always wanted to know about machine learning.

   2016 · homes.cs.washington.edu · its alternatives →

8. 8
   TensorFlow▲17

   An Open Source Library for Machine Intelligence (by Google)

   2015 · tensorflow.org · its alternatives →

9. 9
   Talking Machines - Solving intelligence and machine learning fundamentals▲56

   Guest: Nando de Freitas (Oxford, Google DeepMind)

   2015 · thetalkingmachines.com · its alternatives →

10. 10
    Introduction to Algorithms▲92

    Broad span of algorithms, covered in clear depth

    2015 · amazon.com · its alternatives →

11. 11
    Open Source Intelligence Techniques▲73

    Resources for searching and analyzing online information

    2016 · namecheap.com · its alternatives →

12. 12
    Analyse Asia - 71: Deep Learning & Baidu Research with Andrew Ng▲65

    Artificial Intelligence, Deep Learning & Baidu research

    2015 · analysepodcast.com · its alternatives →

13. 13
    Deep Learning▲5

    A book on neural nets for either industry or research

    2017 · amazon.com · its alternatives →

14. 14
    Surviving AI▲59

    The promise and peril of artificial intelligence

    2015 · amazon.com · its alternatives →

15. 15
    On Intelligence▲12

    The real future of artificial intelligence

    2017 · amazon.com · its alternatives →

16. 16
    Swift AI▲243

    A.I. and machine learning library written in Swift

    2016 · github.com · its alternatives →

17. 17
    Algorithms to Live By▲75

    The Computer Science of Human Decisions

    2016 · amazon.com · its alternatives →

18. 18
    Algorithms to Live By▲70

    The computer science of human decisions

    2016 · amazon.com · its alternatives →

19. 19
    The Economist: The Future of Computing▲76

    On artificial intelligence, Go and Moore's Law

    2016 · soundcloud.com · its alternatives →

20. 20
    TensorFlow 1.0▲80

    Open-source machine learning library by Google

    2018 · tensorflow.org · its alternatives →

21. 21
    Numericcal Alpha▲7

    Deep Learning on the Edge

    2018 · towardsdatascience.com · its alternatives →

22. 22
    Artificial Intelligence for Humans▲6

    Volume 1: Fundamental Algorithms

    2017 · amazon.com · its alternatives →

23. 23
    Deep Learning▲8

    Taking machine learning to the next level

    2016 · udacity.com · its alternatives →

24. 24
    Superintelligence▲69

    Paths, Dangers, Strategies of Superintelligence

    2015 · amazon.fr · its alternatives →

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →