15 Most Popular Books on Deep Learning in 2021

Deep Learning

Ian Goodfellow, Yoshua Bengio and Aaron

Ian Goodfellow, Yoshua Bengio and Aaron

Hands-on machine learning with Scikit-learn Keras and Tensorflow

Aurelion Geron

O’Reilly

Deep Learning with Python

Francois Chollet

Manning

Deep Learning with PyTorch 

Eli Stevens

Manning

Grokking Deep Learning

Andrew W. Trask

Manning

Deep Learning for coders with fastai and PyTorch

Jeremy howard

O’Reilly

Neural Networks and Deep Learning: A textbook

Charu Aggarwal

Springer

Fundamentals of Deep Learning: Designing Next-Generation of Machine Intelligence Algorithms

Nikhil Baduma

O’Reillly

Deep Learning with R

Francois Chollet with J.J Allaire

Manning

Deep Learning: A Practitioner’s Approach

Josh Patterson and Adam Gibson

O’Reilly

Deep Learning from Scratch

Seth Weidman

O’Reilly

Foundations of Deep Reinforcement Learning: Theory and Practice in Python

Wah Loon Keng and Laura Graesser

Pearson

Deep Learning for Natural Language Processing: Applications of Deep Neural Networks to Machine Learning Tasks

John Krohn

Pearson 

Advanced Deep Learning with Keras

Rowel Atienza

Packt

Practical Convolutional Neural Networks

Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari

Packt