neural network matlab book

common theory of neural network structure and working principle, simple and good understanding, recommended to watch2, the mathematical derivation of the inverse propagation algorithm, if it is too complicated to temporarily skip3,matlab Code and Image Library(1) Plain English explain the traditional neural networkFir

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 S

network prediction Total number of layers $L $-neural network (including input and output layers) $\theta^{(L)}$-the weight matrix of the $l$ layer to the $l+1$ layer $s _l$-the number of neurons in the $l$ layer, note that $i$ counts from 1, and the weights of bias neurons are not counted in the regular term. The number of neurons in the _{l+1}$

Http://www.cnblogs.com/python27/p/MachineLearningWeek05.html This chapter may be the most unclear chapter of Andrew Ng, why do you say so? This chapter focuses on the back propagation (backpropagration, BP) algorithm, Ng spent half time talking about how to calculate the error item δ, how to calculate the δ matrix, and how to use MATLAB to achieve the post transmission, but the most critical question-why so calculate. The previous calculation of thes

UFLDL Learning notes and programming Jobs: convolutional neural Network (convolutional neural Networks)UFLDL out a new tutorial, feel better than before, from the basics, the system is clear, but also programming practice.In deep learning high-quality group inside listen to some predecessors said, do not delve into other machine learning algorithms, you can direc

really simple, very mathematical beauty. Of course, as a popular science books, it will not tell you how harmful this method is.Implementation, you can use the following two algorithms:①KMP: Put $w_{i}$, $W _{i-1}$ two words together, run once the text string.②ac automaton: Same stitching, but pre-spell all the pattern string, input AC automaton, just run once text string.But if you are an ACM player, you should have a deep understanding of the AC automaton, which is simply a memory killer.The

Currently, Java is used to develop the largest number of ape programs, but most of them are limited to years of development. In fact, Java can do more and more powerful! I used Java to build a [self-built neural network] instead of laboratory work, it is a real, direct application that makes our programs smarter, let our program have the perception or cognitive function! Do not use the same number as the

Reprint please indicate the Source: Bin column, Http://blog.csdn.net/xbinworldThis is the essence of the whole fifth chapter, will focus on the training method of neural networks-reverse propagation algorithm (BACKPROPAGATION,BP), the algorithm proposed to now nearly 30 years time has not changed, is extremely classic. It is also one of the cornerstones of deep learning. Still the same, the following basic reading notes (sentence translation + their o

This is the essence of the whole fifth chapter, will focus on the training method of neural networks-reverse propagation algorithm (BACKPROPAGATION,BP), the algorithm proposed to now nearly 30 years time has not changed, is extremely classic. It is also one of the cornerstones of deep learning. Still the same, the following basic reading notes (sentence translation + their own understanding), the contents of the b