mlp neural network

The author says: Before having studied once, but after a period of time, many details place already blurred. Recently deduced again, in order to retain as far as possible the derivation idea, specially writes this blog post. On the one hand for their future memories, on the other hand to communicate with you to learn.For this blog post, the following description:1. This blog does not guarantee that the derivation process is completely correct, if there is a problem, please correct me.2. If neces

gradient descent algorithm to a normalized neural networkThe partial derivative of the normalized loss function is obtained:You can see the paranoid gradient drop. Learning rules do not change:And the weight of learning rules has become:This is the same as normal gradient descent learning rules, which adds a factor to readjust the weight of W. This adjustment is sometimes called weight decay .Then, the normalized learning rule for the weight of the r

Circular neural Network Tutorial-the first part RNN introduction Cyclic neural Network (RNN) is a very popular model, which shows great potential in many NLP tasks. Although it is popular, there are few articles detailing rnn and how to implement RNN. This tutorial is designed to address the above issues, and the tutor

This article by the @ Star Shen Pavilion Ice language production, reproduced please indicate the author and source. article link: http://blog.csdn.net/xingchenbingbuyu/article/details/53674544 Micro Blog: http://weibo.com/xingchenbing Gossip less and start straight. Since it is to be implemented in C + +, then we naturally think of designing a neural network class to represent the

Now that the "neural network" and "Deep neural network" are mentioned, there is no difference between the two, the neural network can not be "deep"? Our usual logistic regression can be thought of as a

/***********************************************************************/ /* File: Mc_neuron.h * * 2014-06-04 //////* Description: Single-layer perceptron neural network header file */ /************************************************ / #ifndef _afx_mc_neuron_include_h_ #define _AFX_MC_NEURON_INCLUDE_H_ Class Neuro

Motive (motivation)For non-linear classification problems, if multiple linear regression is used to classify, it is necessary to construct many high-order items, which leads to too many learning parameters, so the complexity is too high.Neural networks (Neural network)As shown in a simple neural network, each circle re

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 please contact [email protected], without authorization shall not be reproduced."This article is reproduced from" hit SCIR "public number, reprint has obtained cons

first, the concept of BP neural networkBP Neural Network is a multilayer feedforward neural network, its basic characteristics are: the signal is forward propagation, and the error is the reverse propagation. in detail. For example, a ne