best neural network book

first, the Origin Originally wanted to follow the traditional recursive algorithm to achieve maze game--> genetic algorithm to achieve maze game--> neural network maze game ideas, in this article also write how to use the neural network to achieve the maze, but the study, feel some trouble is not very good, so I chose

Article reproduced from: http://www.52analysis.com/R/1627.html Neural Network (optimization algorithm) Artificial neural Network (ANN), referred to as neural network, is a mathematical model or computational model that mimics th

Weight vector W, training sample X1. Initialize the weight vector to 0, or initialize each component to any decimal between [0,1]2. Input the training sample into the Perceptron to get the classification result (-1 or 1)3. Update weight vectors based on classification resultsPerceptron algorithm for Tuyi data samples that are linearly delimitedMachine learning--perceptron data classification algorithm step (MU-class network-to achieve a simple

Multi-Task confrontation learning [1] In order to gain robustness against noise, multi-task learning is introduced into three networks:-Input Network (green), used as feature extractor-Senone output Network (red), used as Senone classification-Domain output Network (blue), domain here refers to the type of noise, a total of 17 kinds of noise In order to increase

Pybrain is a well-known Python neural network library, today I used it to do an experiment, referring to this blog, thanks to the original author, gave a specific implementation, the code can be directly copied to run.Our main problems are as follows:First we give a function to construct the dataset that is required to generate this problem . Def generate_data (): "" " generate original data of U and Y

Abstract: With the development of computational intelligence, artificial neural network has been developed. The industry now considers that it may not be appropriate to classify neural networks (NN) in artificial intelligence (AI), and that the classification of computational Intelligence (CI) can explain the nature of the problem. Some topics in evolutionary com

Deep learning veteran Yann LeCun detailed convolutional neural network The author of this article: Li Zun 2016-08-23 18:39 This article co-compiles: Blake, Ms Fenny Gao Lei Feng Net (public number: Lei Feng net) Note: convolutional Neural Networks (convolutional neural

Microsoft Research Asia chief researcher Sun JianHow accurate is the world's best computer vision system? On December 10 9 o'clock in the morning EST, the imagenet Computer Vision Recognition Challenge was announced--Microsoft Research Asia Vichier's researchers, with the latest breakthroughs in deep neural network technology, have won the title of all three major projects with absolute advantage in image c

A summary of the classic network of CNN convolutional Neural NetworkThe following image refers to the blog: http://blog.csdn.net/cyh_24/article/details/51440344Second, LeNet-5 network Input Size: 32*32 Convolution layer: 2 Reduced sampling layer (pool layer): 2 Full Connection layer: 2 x Output layer: 1. 10 categories (probability of a nu

Artificial neural network is a simulation of the biological nervous system. Its information processing function is determined by the input and output characteristics (activation characteristics) of the network Unit (neuron), the topology of the network (the connection mode of the neuron), the connection weight (synapti

Civilization number" and the Central State organ "youth civilization" title.Smart Apps Intelligent processing is the core problem 20w Human brain Power consumption Multilayer large-scale neural network ≈ convolutional Neural Network + LRM (different feature map extracts different features to complete

realization of Image search algorithm based on convolutional neural network If you use this name to search for papers, there must be a lot. Why, because from a theoretical point of view, convolutional neural networks are ideal for finding similar places in images. Think about it, a lot of Daniel, calf, and micro-ox articles are about how to find similar images fr

1. Background:1.1 Inspired by neural networks in the human brain, there have been many different versions in history. 1.2 The most famous algorithms are the backpropagation of the 1980.2. Multilayer forward neural networks (multilayer feed-forward neural network)The 2.1 backpropagation is used on a multilayer forward

convolutional Neural Network Primer (1) Original address : http://blog.csdn.net/hjimce/article/details/47323463 Author : HJIMCE convolutional Neural Network algorithm is an n-year-old algorithm, only in recent years because of deep learning related algorithms for the training of multi-layered networks to provide a new

The article was transferred from the deep learning public numberDeep learning is a new field in machine learning that is motivated by the establishment and simulation of a neural network for analytical learning of the human brain, which mimics the mechanisms of the human brain to interpret data, examples, sounds and texts. Deep learning is a kind of unsupervised learning.The concept of deep learning derives

1. Recurrent neural Network (RNN) Although the expansion from the multilayer perceptron (MLP) to the cyclic Neural network (RNN) seems trivial, it has far-reaching implications for sequence learning. The use of cyclic neural networks (RNN) is used to process sequence data.

Summary: WithThe artificial neural network has been developed with the development of computational intelligence. The industry now considers that the classification of Neural Networks (NN) in artificial intelligence (AI) may not be appropriate, and that the classification of computational Intelligence (CI) is more descriptive of the problem. Some topics in evolut

I ask Xi Xi, a few days ago to play with a bit of MATLAB in the use of Neural network toolbox, and suddenly there is "palpable" the sense of the well-being. The other is nothing, but the data structure of the neural network is a bit "weird", if careless will cause the toolbox error. Here is the correct open posture for

NIPS 2016 article: Intel China Research Institute on Neural Network compression algorithm of the latest achievementsHttp://www.leiphone.com/news/201609/OzDFhW8CX4YWt369.htmlIntel China Research Institute's latest achievement in the field of deep learning--"dynamic surgery" algorithm 2016-09-05 11:33 reproduced pink Bear 0 reviewsLei Feng Net press: This article is the latest research results of Intel China

The introduction of convolution neural network Original address : http://blog.csdn.net/hjimce/article/details/47323463 Author : HJIMCE Convolution neural network algorithm is the algorithm of n years ago, in recent years, because the depth learning correlation algorithm for multi-layer