What Neural Networks/Deep Learning Books Should I Read?

By on August 12, 2019
Pin It


There are lots of deep learning books on the market and is a common question for who want to start to understand somethings.
In this post, we collect some info, and please leave your comment and suggestion for other books. ;-)


Free ebook to learn Neural Networks/Deep Learning


  • When it comes to the mathematical background, Deep Learning Book by Ian Goodfellow et al. is a great starting point, giving a lot of overviews. Though, it requires a lot of interest in maths. Convolutional networks start well after page 300.


  • The book is not intended to cover advanced machine learning techniques because there are already plenty of books doing this. Instead, we aim to provide the necessary mathematical skills to read those other books. https://mml-book.github.io/



  • It is a little old given how quickly the field moves, but ‘Information Theory, Inference and Learning Algorithms’ has a chapter on neural networks. It is an outstanding book: a labour of love from a very smart person. The exercises are varied, explanations are great, there’s a sprinkling of humor, and connections drawn between multiple fields of study. Moreover, it is freely available from the author’s website: http://www.inference.org.uk/itprnn/book.html




  • Numerical Algorithms introduces the skills necessary to be both clients and designers of numerical methods for computer science applications. This text is designed for advanced
    undergraduate and early graduate students who are comfortable with mathematical notation and formality but need to review continuous concepts alongside the algorithms under


Ebook to learn Neural Networks/Deep Learning

  • Neural Networks and Deep Learning: A Textbook by Charu Aggarwal
    The author (from IBM Watson Research center) also has written several other books on related domains.





And you? What do you suggest? Leave your comment, I’ll insert it in the list


About Boris Landoni

Boris Landoni is the technical manager of Open-Electronics.org. Skilled in the GSM field, embraces the Open Source philosophy and its projects are available to the community.

Leave a Reply

Your email address will not be published. Required fields are marked *