Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks (Bradford Book)

Neural Network Design (2nd Edition)

Deep Learning (Adaptive Computation and Machine Learning series)

Fundamentals of Artificial Neural Networks (MIT Press)

Python Machine Learning

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Information Theory: A Tutorial Introduction

Deep Belief Nets in C++ and CUDA C: Volume III: Convolutional Nets (Volume 3)

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)