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Deep Learning (depth learning) Learning notes finishing Series[Email protected]Http://blog.csdn.net/zouxy09ZouxyVersion 1.0 2013-04-08Statement:1) The Deep Learning Learning Series is a collection of selfless contributions from the online very Daniel and machine

Instructor Xin's Blog is here: Software Engineering Education learned by modern software engineering Then I read the opinions of many students. When I think of High School, the teacher taught me that a good argumentative paper must show my opinion at the beginning. (Well, that's to cope with the college entrance examination. I am far away]. However, in my opinion,Not totally agreeThe opinions of instructors and some students. Over-emphasized"XI"Proportion,I have different opinions.. What did i

Generate Learning AlgorithmsThis course outline:1. Generate learning Algorithms2. Gaussian discriminant analysis (Gda,gaussian discriminant)- Gaussian distribution (brief)- Contrast Generation learning Algorithm discriminant Learning Algorithm (brief)3. Naive Bayes4. Laplace SmoothingReview:Classification algorithm: G

A bunch of online searches, and finally the links and differences between these concepts are summarized as follows: 1. Data mining: Mining is a very broad concept. It literally means digging up useful information from tons of data. This work bi (business intelligence) can be done, data analysis can be done, even market operations can be done. Using Excel to analyze the data and discover some useful information, the process of guiding your business through this information is also the process of

First, how to learn a large-scale data set?In the case of a large training sample set, we can take a small sample to learn the model, such as m=1000, and then draw the corresponding learning curve. If the model is found to be of high deviation according to the learning curve, the model should continue to be adjusted on the existing sample, and the adjustment strategy should refer to the High deviation of se

1. What is manifoldManifold Learning Viewpoint: We think that the data we can observe is actually mapped by a low-dimensional pandemic to a high-dimensional space. Due to the limitations of the internal characteristics of the data, some of the data in the higher dimensions produce redundancy on the dimension, which in fact can be represented only by a lower dimension. So intuitively speaking, a manifold is like a D-dimensional space, in a m-dimensiona

1. Transfer Learning In practice, because of the size of the database, we usually do not start from scratch (random initialization of parameters) to train convolution neural networks. Instead, it is usually done on a large database (for example, Imagenet, a 1000-class image classification database with a total of 1.2 million) for CNN training, a trained network (hereinafter referred to as Convnet), and convnet in the following two ways to use our pro

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 learning on the detection of traditional transc

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 thesis. On the one hand, my understanding will be deeper, and on the other hand, it will facili

Original address:http://blog.csdn.net/miscclp/article/details/6339456Under the traditional machine learning framework, the task of learning is to learn a classification model based on a given sufficient training data, and then use this learning model to classify and predict the test document. However, we see that the machine