how to program neural network

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Getting Started with neural network programming

Transfer from http://www.cnblogs.com/heaad/archive/2011/03/07/1976443.htmlThe main contents of this paper include: (1) Introduce the basic principle of neural network, (2) Aforge.net the method of realizing Feedforward neural Network, (3) Matlab to

Neural Network algorithm

Content Summary:(1) introduce the basic principle of neural network(2) Aforge.net method of realizing Feedforward neural network(3) the method of Matlab to realize feedforward neural network---cited Examples  In this paper, fisher's iris data set is

Derivation of BP neural network model and implementation of C language (reproduced)

bp neural network in BP for back propagation shorthand, the earliest it was by Rumelhart, McCelland and other scientists in 1986, Rumelhart and in nature published a very famous article "Learning R Epresentations by back-propagating errors ". With

Introduction to Neural network (Serial II) __ Neural network

The artificial intelligence technology in game programming.    .(serialized bis) 3 Digital version of the neural network (the Digital version) Above we see that the brain of a creature is made up of many nerve cells, and

Introduction to machine learning--talking about neural network

Introduction to machine learning--talking about neural network This article transferred from: http://tieba.baidu.com/p/3013551686?pid=49703036815&see_lz=1#Personal feel is very full, especially suitable for contact with neural network novice. Start

Introduction to neural networks (serialization II)

. AI technology in game programming. .(Serialization II) 3Digital neural networks (the digital version) We have seen that the biological brain is composed of many neural cells. Similarly, the artificial neural network ANN that

Python implementation of deep neural network framework

Overview This demo is very suitable for beginners AI and deep learning students, from the most basic knowledge, as long as there is a little bit of advanced mathematics, statistics, matrix of relevant knowledge, I believe you can see clearly. The

Neural Network Structure Summary

   Perceptron is a function from the input space (feature space) to the output space: f (x) = Sign (w * x + B ), W and B are the weights and bias parameters of the sensor. The linear equation W * x + B = 0 represents a hyperplane of the feature

Neural network and deep learning article One: Using neural networks to recognize handwritten numbers

Source: Michael Nielsen's "Neural Network and Deep leraning"This section translator: Hit Scir master Xu Zixiang (Https://github.com/endyul)Disclaimer: We will not periodically serialize the Chinese translation of the book, if you need to reprint

Getting Started with neural networks (serial 1-6)

The original book: "AI Technology in Game programming" Excerpt from: http://blog.csdn.net/starxu85/article/details/3143533 Original: http://blog.csdn.net/zzwu/article/category/243067 . (one of the serials) introduce neural networks in normal

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