1
Perceptrons : an introduction to computational geometry /
Book
2
Guide to Deep Learning Basics [E-Book] : Logical, Historical and Philosophical Perspectives /
3
Deep learning : a visual approach /
Book
Table of Contents 
4
Math for deep learning : what you need to know to understand neural networks /
Book
5
Practical deep learning : a Python-based introduction /
Book
6
Handbook of machine learning applications for genomics /
Book
7
Machine learning with go : leverage go's powerful packages to build smart machine learning and predictive applications, 2nd edition [E-Book] /
8
Hands-On Deep Learning with Go : a practical guide to building and implementing neural network models using Go [E-Book] /
9
Python reinforcement learning projects : eight hands-on projects exploring reinforcement learning algorithms using TensorFlow [E-Book] /
10
TensorFlow reinforcement learning quick start guide : get up and running with training and deploying intelligent, self-learning agents using Python [E-Book] /
11
TensorFlow 2.0 quick start guide : get up to speed with the newly introduced features of TensorFlow 2.0 [E-Book] /
12
Mastering machine learning on AWS : advanced machine learning in Python using SageMaker, Apache Spark, and TensorFlow [E-Book] /
13
PyTorch 1.x Reinforcement Learning Cookbook : over 60 recipes to design, develop, and deploy self-learning AI models using Python [E-Book] /
14
Machine learning with the elastic stack : expert techniques to integrate machine learning with distributed search and analytics [E-Book] /
15
Deep learning with TensorFlow : explore neural networks and build intelligent systems with Python [E-Book] /
16
Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow [E-Book] /
17
What's new in TensorFlow 2.0 : Use the new and improved features of TensorFlow to enhance machine learning and deep learning [E-Book] /
18
Machine learning for OpenCV 4 : intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn, second edition [E-Book] /
19
Hands-on neural networks with TensorFlow 2.0 : understand TensorFlow, from static graph to eager execution, and design neural networks [E-Book] /
20
Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling [E-Book] /