teched learning

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 tansig Purelin pure linear functions Guide functi

Redis learning and redis learning. Redis learning, redis learning non-relational database RedisV3.0 (Port 6379) Port meaning: Developers: domestic use of NoSQL: product official website: redis Redis learning, redis learning Apsar

Some Misunderstandings in iOS learning and iOS Learning 1. dogmatism. Discussion: blindly learn a book and blogs from some well-known iOS programmers in the industry. Of course, it will be adjusted in stages later, but we should discuss it here separately. There are a lot of books to learn, and I think that a good blog is vast. It would be a tragedy if I got stuck blindly. There will be a lot of possibiliti

Pig Data Structure Learning notes (2), pig Data Structure Learning Pig's Data Structure Learning notes (2) Sequence Table in linear table This section introduces: In the previous chapter, we learned about the concepts related to data structures and algorithms, and learned about the concepts related to data structures. The difference between the logical structur

Public Course address:Https://class.coursera.org/ml-003/class/index INSTRUCTOR:Andrew Ng 1. deciding what to try next ( Determine what to do next ) I have already introduced some machine learning methods. It is obviously not enough to know the specific process of these methods. The key is to learn how to use them. The so-called best way to master knowledge is to put it into practice. Consider the earliest house price prediction question. If you

Part 1ArticleI have learned Java Web/Android, C #, PHP, Flex (ActionScript), HTML/CSS/JS over the past three or four years, in addition, C/C ++ has also seen a point. Currently, it is mainly used for PHP and Android development. In fact, it is not much, but compared to many students who have been working for 3 or 4 years, they are still working on. NET. I am already quite a "Flower. ForProgramFor the development languages I developed, my learning

Course Description:This lesson focuses on the things you should be aware of in machine learning, including: Occam's Razor, sampling Bias, and Data snooping.Syllabus: 1, Occam ' s razor.2, sampling bias.3, Data snooping.1, Occam ' s Razor.Einstein once said a word: An explanation of the data should is made as simple as possible, but no simpler.There are similar sayings in software engineering:Keep It simple, stupid (KISS)Similar sayings exist in the f

This article goes from WebEx to:http://www.topeetboard.comVideo explanation Address:http://v.youku.com/v_show/id_XOTI4Njc0NDIw.htmlKnowledge system of embedded technology: Learning steps for the iTOP-4412 Development Board and accompanying tutorialsEmbedded knowledge of a wide range of beginners difficult to get startedThis section describes the embedded technology learning steps for beginnersTry to play th

PHP learning Notes (1) brief understanding of PHP and php learning notes. PHP learning Notes (1) brief understanding of PHP, php learning notes objective planning: through the first lesson, we can understand the php environment. 1. environment Awareness: 2. access Method: 3. modify the code and check PHP

Machine learning, relationships with several related fields. Mainly by the performance of the relationship:The statistical method can be used to realize machine learning (machines learning), while machine learning can implement artificial intelligence (AI) and let the machine do some intelligent things. Data Mining, wh

Python Machine Learning Theory and Practice (5) Support Vector Machine and python Learning Theory Support vector machine-SVM must be familiar with machine learning, Because SVM has always occupied the role of machine learning before deep learning emerged. His theory is very

Copyright belongs to the author.Commercial reprint please contact the author for authorization, non-commercial reprint please specify the source.Tan XinLinks: http://www.zhihu.com/question/21380122/answer/22156159Source: KnowBig Data has two directions, one is computer-biased and the other is economy-biased. You've learned Java, so you can shot computerBasis1. Reading "Introduction to Data Mining", this book is very easy to understand, there is no complex advanced formula, very suitable for peop

recommended to go online to see the tutorial, this time directly ask the old staff, or let him help. (Time is tight, if the time is ample, you can try to build the development environment)Second: Familiarize yourself with the IDE. First, try to use the IDE as recommended by the project team, and avoid using other Ides to cause problems when the problem occurs, unanswered. Of course, if there is an expert directly in the development of a text editor (mainly in the interpretation of language or s

One of the target detection (traditional algorithm and deep learning source learning) This series of writing about target detection, including traditional algorithms and in-depth learning methods will involve, focus on the experiment and not focus on the theory, theory-related to see the paper, mainly rely on OPENCV. First, what is the target detection algorithms

For a given set of data and problems, the machine learning method to solve the problem is generally divided into 4 steps: A Data preprocessing First, you must ensure that the data is in a format that meets your requirements. The standard data format can be used to fuse algorithms and data sources to facilitate matching operations. In addition, you need to prepare specific data formats for machine learning a

Intensive learning can be divided into off-policy (off-line) and on-policy (online) Two learning methods, according to individual understanding, Determining whether an intensive learning is Off-policy or On-policy is based on the fact that the policy (Value-funciton) of the generated sample is the same as the policy (Value-funciton) when the network parameter is

Diagnostic methods for the representation of deviations, variances, and learning curves:When evaluating hypothetical functions, we are accustomed to dividing the entire sample according to 6:2:2:60% training Set training set, 20% cross-validation set, validation set, and 20% test set, respectively, for fitting hypothesis functions, model selection, and prediction. The model selection method is:1. Train 10 models using the training set2. Cross-validati

software that defeats a number of human participants in an IQ test that requires understanding synonyms, antonyms, and analogies.LeCun ' s group is working on going further. "Language in itself are not so complicated," he says. "What's complicated is have a deep understanding of language and the world that gives you common sense. That's what we ' re really interested in building into machines. " LeCun means common sense as Aristotle used the term:the ability to understand basic physical reality

As the old saying goes: "Learn while learning", study is an uninterrupted process. Recently learning SQL, watching video, also summed up. There is a kind of learning not to feel, not only is the feeling, is not the bottom of the heart, in fact, really master is not too good. Other disciplines are also, there is always a kind of ethereal feeling. Miss Rice gave

ECCV-2010 Tutorial:feature Learning for Image classification OrganizersKai Yu (NEC laboratories America, [email protected]),Andrew Ng (Stanford University, [email protected])Place Time: Creta Maris Hotel, Crete, Greece, 9:00–13:00, September 5th, 2010 Course Material and Software The quality of visual features is crucial for a wide range of computer vision topics, e.g., scene classification, OBJEC t recognition,