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.

Neural Networks and Learning Machines (3rd Edition).pdf 这本是全英文的文字版资源。大家如果学习machine learning 的话，建议自己看英文的，毕竟这东西国外比国内要先进得多，不能让英语成为障碍。而且，原版的东西绝对比翻译的要准确些，无论翻译的水平有多高。

2017 Deep Learning and Convolutional Neural Networks for Medical Image Computing.pdf

The state-of-the-art methods used for relation classification are primarily based on statistical machine learning, and their performance strongly depends on the quality of the extracted features. The extracted features are often derived from the output of pre-existing natural language processing (NLP) systems, which leads to the propagation of the errors in the existing tools and hinders the performance of these systems.

使用python一步一步搭建起自己的神经网络，对理解神经网络原理大有裨益，强烈推荐！

本资源主要是智能控制，内容涉及模糊控制相关内容，神经网络相关内容等方面

recurrent neural network without a phd.pdf 出处：https://github.com/martin-gorner/tensorflow-rnn-shakespeare

人工神经网络实验 用CHNN算法求解TSP问题 算法：Hopfield神经网络 语言：Matlab

本书是Grégoire Montavon 2012年推出的第二版书，主要介绍神经网络的训练改进技巧、以及表示等等，本书高清无码扫描，附带完整标签，文字可编辑复制，并以保存为长期归档格式PDF/A！堪称完美！强烈推荐！