deep learning toolbox

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Deep Learning MATLAB Toolbox code detailed

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

Framework and Toolbox for deep learning

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 toolbox

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

Learning efficiency and accuracy of different learning functions in the matlab bp network toolbox, training functions and performance Functions

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

Machine learning practical matlab Neural Network Toolbox

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

Matlab with the Classification of Learning Toolbox (SVM, Decision Tree, KNN, etc.) __matlab

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 projection

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

Learn from WPF Diagram Designer Part 2 learning panels, thumbnails, border selection, and toolbox

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

Deep Learning Series-Preface: A good tutorial for deep learning

/~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 (Deep Learning) Learning notes and Finishing _

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

Deep Learning Series (V): A simple deep learning toolkit

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

Deep learning Deep Learning with MATLAB (Lazy person Version) _ Depth Learning

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

My view on deep learning---deep learning of machine learning

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

Deep learning FPGA Implementation Basics 0 (FPGA defeats GPU and GPP, becoming the future of deep learning?) )

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

[Deep Learning a MIT press book in preparation] Deep Learning for AI

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

Learning notes TF053: Recurrent Neural Network, TensorFlow Model Zoo, reinforcement learning, deep forest, deep learning art, tf053tensorflow

Learning notes TF053: Recurrent Neural Network, TensorFlow Model Zoo, reinforcement learning, deep forest, deep learning art, tf053tensorflow Recurrent Neural Networks. Bytes. Natural language processing (NLP) applies the network model. Unlike feed-forward neural network (FN

. NET Deep Learning Notes (4): Deep copy and shallow copy (Deep copy and shallow copy)

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

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

Deep Learning 11 _ Depth Learning UFLDL Tutorial: Data preprocessing (Stanford Deep Learning Tutorial)

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

Deep Learning Framework Google TensorFlow Learning notes one __ deep learning

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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