Hopfield Neural Network——Hopfield神经网络的python代码，基于Language: Python 3.5.x，API: Google TensorFlow 1.0.x。实验案例有训练Hopfield网络对MNIST数字进行分类等。

Deep Neural Networks for YouTube Recommendations论文翻译

Make Your Own Neural Network---------mobi 、epub、azw3

MATLAB神经网络30个案例分析(高清）,适用于缺乏对于神经网络的matlab操作经验的童鞋。

Tree-Based Convolutional Neural Networks，Lili Mou • Zhi Jin。2018年新书，介绍基于树构造的卷积神经网络。

Neural Networks: Tricks of the Trade, Second Edition Editors: Grégoire Montavon, Geneviève B. Orr, Klaus-Robert Müller 有关神经网络、深度学习Tricks的入门经典书籍。

神经网路机器人机构及非线性系统控制，介绍了控制器的设计思路与稳定性证明，还是很详细的，推荐一下

A Guide to Convolutional Neural Networks for Computer Vision-Morgan & Claypool(2018).pdf

Neural Network Design (2nd Edition)为大牛Martin T. Hagan巨作，深入浅出地讲解了深度学习的所有算法原理，非常适合全面深入了解人工神经网络及深度学习

Neural networks have made a surprise comeback in the last few years and have brought tremendous innovation in the world of artificial intelligence. The goal of this book is to provide C# programmers with practical guidance in solving complex computational challenges using neural networks and C# libraries such as CNTK, and TensorFlowSharp. This book will take you on a step-by-step practical journey, covering everything from the mathematical and theoretical aspects of neural networks, to building your own deep neural networks into your applications with the C# and .NET frameworks. This book begins by giving you a quick refresher of neural networks. You will learn how to build a neural network from scratch using packages such as Encog, Aforge, and Accord. You will learn about various concepts and techniques, such as deep networks, perceptrons, optimization algorithms, convolutional networks, and autoencoders. You will learn ways to add intelligent features to your .NET apps, such as facial and motion detection, object detection and labeling, language understanding, knowledge, and intelligent search. Throughout this book, you will be working on interesting demonstrations that will make it easier to implement complex neural networks in your enterprise applications.