9 Best Neural Network Books
Goal: Find the best Neural Network books according to the internet (not just one person's opinion).
Method:
- Search for "best neural network books" and study the top 5+ pages.
- Add only the books mentioned 2+ times.
- Rank the results neatly here.
9 Best Neural Network Books
As an Amazon Associate, we earn from qualifying purchases (at no extra cost to you).
Deep Learning
by Ian Goodfellow
Also recommended by:
Neural Networks for Pattern Recognition
by Christopher M. Bishop
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
A Practitioner's Approach
by Josh Patterson
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
A Textbook
by Charu C. Aggarwal
Neural Smithing
Supervised Learning in Feedforward Artificial Neural Networks
by Russell Reed
TensorFlow 1.x Deep Learning Cookbook
Over 90 Unique Recipes To Solve Artificial-Intelligence Driven Problems With Python
by Antonio Gulli
Sources
- 1
3 Must-Own Books for Deep Learning Practitioners - MachineLearningMastery.com
machinelearningmastery.com
- 2
The 7 best deep learning books you should be reading right now - PyImageSearch
pyimagesearch.com
- 3
10 Best Books on Neural Networks and Deep Learning in 2023
mltut.com
- 4
10 Best Deep Learning Books for Beginner & Experts in 2022 [Updated]
hackr.io
- 5
Amazon Top 20 Books in Neural Networks - KDnuggets
kdnuggets.com
