Recently studied a few days of deep learning of the MATLAB Toolbox code, found that the author gives the source of the comments is very poor, in order to facilitate everyone to read, the code has been commented, share with you.Before reading the MATLAB Toolbox code, we recommend that you read a few CNN two classic mate
Find Matlab more and more powerful. Now there is also the Toolbox for deep learning.Deep Learning Toolbox: Https://github.com/rasmusbergpalm/DeepLearnToolbox.First, the configuration1, the download after decompression, the extracted folder to copy to the MATLAB Toolbox folde
MATLAB Map Toolbox Learning Summary (iii) basic knowledge of Map toolboxWhat you want to introduce today are some of the more basic functions. With these functions in view, the basic concepts of map projection can be truly understood. To continue to study the function of map projection in Matlab, especially the projection file source code that I will mention in the future, it is necessary to know the functi
Demo from neural network theory and Matlab 7 ImplementationFirst, we will introduce several types of functions commonly used by BP networks in the MATLAB toolbox: Forward network creation functions:
Newcf creates a cascaded forward Network
Newff creates a Forward BP Network
Newffd creates a forward network with input delayTransfer Function:
Logsig S-type logarithm function
Function of dlogsig logsig
Tansig s tangent function
Function of dtansig tans
The previous section in"machine learning from logistic to neural network algorithm", we have introduced the origin and construction of neural network algorithm from the principle, and programmed the simple neural network to classify and test the linear and nonlinear data. Looking at the previous section, it may be found that the algorithm implemented in the previous section is not perfect for classifying non-linear data, and there are many places to o
In Matlab, there are a variety of classifier training functions, such as "FITCSVM", but also a graphical interface of the classification of Learning Toolbox, which contains SVM, decision tree, KNN and other types of classifiers, the use of very convenient. Then let's talk about how to use it. Start:
Click "Application", find "classification learner" icon in the Panel click to Start, also can enter "Classifi
MATLAB Map Toolbox Learning Summary (i) from the map projectionObjectiveIn this semester's map projection class, Li Lianying suggested that we use MATLAB to complete our weekly assignments. From the sophomore semester began to contact with MATLAB Learning Mathematical Computing and geographic data processing I, naturally will not let go of this opportunity, every
In learning control templates, moving, resizing, and rotating from WPF Diagram Designer Part 1, the implementation of the Graphics designer's movement, size, and rotation is introduced, and the second section is to learn the features of design panels, thumbnails, frame-line rotation, and Toolbox.
WPF Diagram Designer-part 2
Design Panel (Designer canvas:variable size, scrollable)
In a designer that lea
/~kevinduh/a/deep2014/
Then deeplearning 's official website, Inside good good things found themselves:http://deeplearning.net/
About learning deep learning tools, there seems to be a lot of (MATLAB version, C + + version, Python version and so on Deep learning library), dep
Deep Learning notes finishing (very good)
Http://www.sigvc.org/bbs/thread-2187-1-3.html
Affirmation: This article is not the author original, reproduced from: http://www.sigvc.org/bbs/thread-2187-1-3.html
4.2, the primary (shallow layer) feature representation
Since the pixel-level feature indicates that the method has no effect, then what kind of representation is useful.
Around 1995, Bruno Olshause
This section mainly introduces a deep learning MATLAB version of the Toolbox, Deeplearntoolbox
The code in the Toolbox is simple and feels more suitable for learning algorithms. There are common network structures, including deep
In the words of Russian MYC although is engaged in computer vision, but in school never contact neural network, let alone deep learning. When he was looking for a job, Deep learning was just beginning to get into people's eyes.
But now if you are lucky enough to be interviewed by Myc, he will ask you this question
This afternoon, idle to nothing, so Baidu turned to see the recent on the pattern recognition, as well as the latest progress in target detection, there are a lot of harvest!------------------------------------AUTHOR:PKF-----------------------------------------------time:2016-1-20--------------------------------------------------------------qq:13277066461. The nature of deep learning2. The effect of deep
Requirement Description: Deep learning FPGA realizes knowledge reserveFrom: http://power.21ic.com/digi/technical/201603/46230.htmlWill the FPGA defeat the GPU and GPP and become the future of deep learning?In recent years, deep learning
exploited in most applications of machine learning that involve real numbers.
Many artificial intelligence tasks can be solved by designing the right set of features to extract for that task, then pro Viding these features to a simple machine learning algorithm. For example,a useful feature for speaker identification from sound is the pitch. One solution to this problem are to use machine
Today continue to use the preparation of WSE security development articles free time, perfect. NET Deep Learning Notes series (Basic). NET important points of knowledge, I have done a detailed summary, what, why, and how to achieve. Presumably many people have been exposed to these two concepts. People who have done C + + will not be unfamiliar with the concept of deep
Deep Learning thesis notes (8) Latest deep learning Overview
Zouxy09@qq.com
Http://blog.csdn.net/zouxy09
I have read some papers at ordinary times, but I always feel that I will slowly forget it after reading it. I did not seem to have read it again one day. So I want to sum up some useful knowledge points in my thesi
theoretical knowledge : UFLDL data preprocessing and http://www.cnblogs.com/tornadomeet/archive/2013/04/20/3033149.htmlData preprocessing is a very important step in deep learning! If the acquisition of raw data is the most important step in deep learning, then the preprocessing of the raw data is an important part of
models on a variety of platforms, from mobile phones to individual cpu/gpu to hundreds of GPU cards distributed systems.
From the current documentation, TensorFlow supports the CNN, RNN, and lstm algorithms, which are the most popular deep neural network models currently in Image,speech and NLP.
This time Google open source depth learning system TensorFlow can be applied in many places, such as speech reco
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