microburst learning

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

I recently want to learn python deep learning, because I want to use python for Image Recognition and related entry books. The best Chinese. It is to give a picture to identify what the plot looks like. I recently want to learn python deep learning, because I want to use python for Image Recognition and related entry books. The best Chinese. It is to give a picture to identify what the plot looks like. Repl

If you only want to read a book, then recommend Bishop's Prml, full name pattern recognition and Machine Learning. This book is a machine learning Bible, especially for the Bayesian method, the introduction is very perfect. The book is also a textbook for postgraduate courses in machine learning in universities, such as deep Learning's pedigree Hilton, who also c

is still published as a reading note, not involving too many code and tools, as an understanding of the article to introduce machine learning.The article is divided into two parts, machine learning Overview and Scikit-learn Brief Introduction, the two parts of close relationship, combined writing, so that the overall length, divided into 1, 22.First, it's about machine learning. Key points are as follows:1.

Machine learning Learning Note 1 Zhou Zhihua machine learning Flyu6Time:2016-6-12 Basic Concepts of learning Learning Style (Learning type) Supervised (supervised

Author:Tuenhai.comEmail: King # tuenhai.com QQ: 83087 Copyright Disclaimer: You can reprint the document at will. During reprinting, you must mark the original source and author information of the article as hyperlinks and this statement.Http://www.Tuenhai.com/ Question:Even if you do not have any programming experience, you can easily and happily step into programming as long as you are willing to understand the learning methods described in this art

In this section we learn two very useful diagnostic methods that can be used to improve the performance of the algorithm. They are the learning curve (learning curve) and the validation curve (validation curve). The learning curve can be used to determine whether the learning algorithm is over-fitted or under-fitted.Us

Learning basic and C language learning experience one, skills learning?? I think in the boys, I should be good at cooking. I was in grade four began to learn to cook, from the beginning of learning to cook rice, to later steamed buns, to the last stir-fried home cooking really has a sense of accomplishment. First of al

Learn more about Python deep learning recently, because you want to use Python to do graphics recognition and get the relevant introductory books. Chinese is the best. is to give a picture that identifies what the image is. Reply content:This is a a more completeLearning path for image recognition using deep learning, not deep learning Shortcut！ 1. Pattern Reco

Machine learning system Design (Building machines learning Systems with Python)-Willi Richert Luis Pedro Coelho General statementThe book is 2014, after reading only found that there is a second version of the update, 2016. Recommended to read the latest version, the ability to read English version of the proposal, Chinese translation in some places more awkward (but the English version of the book is indee

1. Nearest Neighbor Component analysis (NCA) algorithmAbove content reproduced from: http://blog.csdn.net/chlele0105/article/details/130064432. Metric LearningIn machine learning, the main purpose of dimensionality reduction of high dimensional data is to find a suitable low-dimensional space, in which the learning can be better than the original space performance. Each space corresponds to a distance metri

information table, X indicates that the dimensions of the high dimensional input matrix are the high dimension D times the number of samples N, C=xxt, Z represents the dimension reduction output matrix size low dimension d times N, E=zzt, the linear mapping is Z=WTX, the distance matrix between 22 in the high-dimensional space is a, and the SW,SB is LDA respectively. In-class divergence matrices and inter-class divergence matrices, K indicates that a point in manifold

The previous article mentioned the importance of error analysis and setting error metrics. That is to set a real number to evaluate the learning algorithm and measure its performance. With the evaluation and error metrics of the algorithm, one important thing to note is that using an appropriate error metric can sometimes have a very subtle effect on the learning algorithm. This kind of problem is the probl

Of course, programming is a tough task. Otherwise, it would be useless to learn any language or materials. However, for beginners, it is very important to get started with resources. resources on the Internet are mixed. I hope to get started with some reliable resources and lay a good foundation. I have studied C for one semester in college, but I have forgotten it. I plan to start from scratch. Due to the continuous training results, I think that the learni