microburst learning

Some learning habits that have been with me all along (part2) by Liu Weipeng (Pongba) C + + louvre (Http://blog.csdn.net/pongba) Then the last write. 1. A few questions you often ask yourself in the process of learning and thinking: What is your problem? (Remind yourself to think not to deviate from the problem.) OK, so far, what have I learned? (Remind yourself to summarize and sort out the things you lea

Matlab codes and datasets for Feature Learning dimensionality reduction (subspace Learning)/Feature selection/topic mo Deling/matrix factorization/sparse coding/hashing/clustering/active Learning We provide here some matlab codes o F feature learning algorithms, as as and some datasets in MATLAB format. All this codes

Aimless search for some things, found a good resource, so it must be collected, easy to learn Linux C when you can also refer to other people's learning path, to promote my study and thinkingDescriptionReprint please specify the source: Thank you: http://blog.csdn.net/muge0913/article/details/7342977Blogger's email address is: [Email protected]If there are incorrect or some functions in the article to achieve a better way, please indicate or direct me

This article is part of the third chapter of "Neural networks and deep learning", which describes how to select the value of the initial hyper-parameter in the machine learning algorithm. (This article will continue to add)Learning Rate (learning rate,η)When using the gradient descent algorithm to optimize, the weight

Forecast for 2018 machine learning conferences and 200 machine learning conferences worth attention in 200 2017 is about to pass. How is your harvest this year? In the process of learning, it is equally important to study independently and to learn from others. It is a good way to learn about the AI industry through various conferences. For those who focus on m

Ai is the future, is science fiction, is part of our daily life. All the arguments are correct, just to see what you are talking about AI in the end. For example, when Google DeepMind developed the Alphago program to defeat Lee Se-dol, a professional Weiqi player in Korea, the media used terms such as AI, machine learning, and depth learning to describe DeepMind's victories. Alphago's defeat of Lee Se-dol,

Chapter Two univariate linear regression (Linear Regression with one Variable) 1.Model RepresentationIf we return to the problem of training set (Training set) as shown in the following table:The tag we will use to describe this regression problem is as follows :M represents the number of instances in the training setX represents the feature / input variableY represents the target variable / output variable(x, Y) represents an instance of a training set(x (i), Y (i)) On behalf of section I Exam

Reinforcement LearningThe solution to the problem of control decision: to design a return function (reward functions), if the learning agent (such as the above four-legged robot, chess AI program) in the decision of a step, to obtain a better result, Then we give the agent some return (such as the return function result is positive), get poor results, then the return function is negative. For example, a quadruped robot, if he moves a step forward (clo

Enter the graduation season, graduation design Early finish, do not want to enter the workplace so early, take advantage of this good time, while accepting enterprise training, self-taught java. In my opinion, a few essential points in learning a language are, see, practice, and enlightenment. In this even technology has become a fast-food era, many people rightly believe that in a short period of time, the rapid application of a language is what th

Do you want to know what it is? 1.3 Core technologies for enhanced learning What is the main technique in this? It involves all aspects of the technology, from the system to the algorithm, to the machine learning some of the core ideas, here is the most important thing is how to a complex system to reduce the peacekeeping induction. In this respect, the machine

Preface For the time being, many of the methods in deep reinforcement learning are based on the previous enhanced learning algorithm, where the value function or policy Function policy functions are implemented with the substitution of deep neural networks. Therefore, this paper attempts to summarize the classical algorithm in reinforcement learning. This articl

The first thing to think about is what to solve, the most important of which are three aspects: efficiency, scale, and some intrinsic requirements of machine learning itself.ScaleThe so-called scale problem has three points. The first is that the volume of data is growing rapidly, with more than 60% growth in public cloud and video data each year. 2nd, the amount of data is very large, such as seven cattle have 200 billion pictures, more than 1 billio

Programming Java Learning Path (i), tools One, JDK (Java Development Kit) The JDK is the core of the entire Java system, including the Java Runtime Environment (Java Runtime envirnment), a stack of Java tools and a Java-based class library (Rt.jar). No matter what Java application Server is in essence a version of the JDK is built in. So mastering the JDK is the first step in learning java. The most main

Turn from 70271574AI (AI) is the future, is science fiction, is part of our daily life. All the assertions are correct, just to see what you are talking about AI in the end.For example, when Google DeepMind developed the Alphago program to defeat the Korean professional Weiqi master Lee Se-dol, the media in the description of the victory of DeepMind used AI, machine learning, deep learning and other terms.

The common methods of machine learning are mainly divided into supervised learning (supervised learning) and unsupervised learning (unsupervised learning).Supervised learning, which is often said to be classified , is trained to o

Multi-View Learning ( Multi-View Learning )Early bragging: Today this chapter we are to brag about, just started the boss and I said what is called multi-view learning, my mind is so understanding: we are in the picture of sister welfare, not only to see $ degree angle of the bar, or that would not be all beautiful, this also got. So we have to look at various a

Deep learning is now a hot concept in machine learning, but the concept has become a bit of a myth as it is reproduced in various media: for example, deep learning can be thought of as a machine learning method that simulates the neural structure of the human brain, thus enabling the computer to have the same intellige

Today I am honored to have the opportunity to share with you the topic of enhanced learning (reinforcement LEARNING,RL). This time, I hope to achieve the goal of three aspects: First, I hope that no relevant background of the students can have a certain understanding of RL, so I will introduce some basic concepts. Second, I hope that students with the background of machine

Machine learning and artificial Intelligence Learning Resource guidanceToplanguage (https://groups.google.com/group/pongba/)I often recommend some books in the toplanguage discussion group, and often ask the cows inside to gather some relevant information, artificial intelligence, machine learning, natural language processing, knowledge discovery (especially, dat

Stanford University machine Learning lesson 10 "Neural Networks: Learning" study notes. This course consists of seven parts: 1) Deciding what to try next (decide what to do next) 2) Evaluating a hypothesis (Evaluation hypothesis) 3) Model selection and training/validation/test sets (Model selection and training/verification/test Set) 4) Diagnosing bias vs. variance (diagnostic deviation and variance) 5) Reg