**************************************Note: This blog series is for bloggers to learn the "machine learning" course notes from Professor Andrew Ng of Stanford University. Bloggers deeply learned the course, do not summarize is easy to forget, according to the course plus their own to do not understand the problem of the addition of this series of blogs. This blog series includes linear regression, logistic regression, neural network, machine learning
first, the Origin
Originally wanted to follow the traditional recursive algorithm to achieve maze game--> genetic algorithm to achieve maze game--> neural network maze game ideas, in this article also write how to use the neural network to achieve the maze, but the study, feel some trouble is not very good, so I chose the more common way, Realization of handwritten digit recognition (so-called mnist). intr
"Recurrent convolutional neural Networks for Text classification"
Paper Source: Lai, S., Xu, L., Liu, K., Zhao, J. (2015, January). Recurrent convolutional neural Networks for Text classification. In Aaai (vol. 333, pp. 2267-2273).
Original link: http://blog.csdn.net/rxt2012kc/article/details/73742362 1. Abstract
Text categorization is an important foundational task for NLP. Traditional text categorizati
Article reproduced from: http://www.52analysis.com/R/1627.html
Neural Network (optimization algorithm)
Artificial neural Network (ANN), referred to as neural network, is a mathematical model or computational model that mimics the structure and function of a biological neural network.
Deep Learning Neural Network pure C language basic Edition
Today, Deep Learning has become a field of fire, and the performance of Deep Learning Neural Networks (DNN) in the field of computer vision is remarkable. Of course, convolutional neural networks are used in engineering to reduce computational workload rather than fully-Linked
Introduction to neural network programming (2): What are we writing during socket writing? Http://www.52im.net/thread-1732-1-1.html
1. IntroductionThis article is followed by the first article titled Neural Network Programming (I): Follow the animation to learn TCP three-way handshakes and four waves, and continue to learn neural network programming know
BP (Back Propagation) network is a multi-layer feed-forward Network trained by the error inverse propagation algorithm, which was proposed by a team of scientists led by Rumelhart and mccelland in 1986, it is one of the most widely used neural networks. The BP network can learn and store a large number of input-output mode ing relationships without revealing the mathematical equations that describe this ing relationship beforehand.
The structure of a
BP (Back Propagation) network is a multi-layer feed-forward Network trained by the error inverse propagation algorithm, which was proposed by a team of scientists led by Rumelhart and mccelland in 1986, it is one of the most widely used neural networks. The BP network can learn and store a large number of input/output ing relationships without revealing the mathematical equations that describe this ing relationship beforehand. Its learning rule is to
Series PrefaceReference documents:
Rnnlm-recurrent Neural Network Language Modeling Toolkit (click here to read)
Recurrent neural network based language model (click here to read)
EXTENSIONS of recurrent neural NETWORK LANGUAGE MODEL (click here to read)
Strategies for Training Large scale neural Network Lang
Series PrefaceReference documents:
Rnnlm-recurrent Neural Network Language Modeling Toolkit (click here to read)
Recurrent neural network based language model (click here to read)
EXTENSIONS of recurrent neural NETWORK LANGUAGE MODEL (click here to read)
Strategies for Training Large scale neural Network Lang
Recurrent neural network language modeling toolkit source code (8), recurrentneuralReferences:
RNNLM-Recurrent Neural Network Language Modeling Toolkit (Click here to read)
Recurrent neural network based language model (read here)
Extensions of recurrent neural network language model (Click here to read)
Strategie
convolutional neural Network Origin: The human visual cortex of the MeowIn the 1958, a group of wonderful neuroscientists inserted electrodes into the brains of the cats to observe the activity of the visual cortex. and infer that the biological vision system starts from a small part of the object,After layers of abstraction, it is finally put together into a processing center to reduce the suspicious nature of object judgment. This approach runs coun
The neural network is used to deal with the nonlinear relationship, the relationship between input and output can be determined (there is a nonlinear relationship), can take advantage of the neural network self-learning (need to train the data set with explicit input and output), training after the weight value determination, you can test the new input.Genetic algorithm is used to solve the problem of the m
A recurrent neural network (RNN) is a class of neural networks that includes weighted connections within a layer (compared With traditional Feed-forward networks, where connects feeds only to subsequent layers). Because Rnns include loops, they can store information while processing new input. This memory makes them ideal for processing tasks where prior inputs must to considered (such as time-series data).
Generalized regression neural network GRNN
(General Regression neural Network)
Generalized regression Neural network is an improvement based on radial basis function neural network.
Structural Analysis:
It can be seen that this structure is very similar to the radial basis ne
Microsoft Research Asia chief researcher Sun JianHow accurate is the world's best computer vision system? On December 10 9 o'clock in the morning EST, the imagenet Computer Vision Recognition Challenge was announced--Microsoft Research Asia Vichier's researchers, with the latest breakthroughs in deep neural network technology, have won the title of all three major projects with absolute advantage in image classification, image positioning and image de
1. Background:1.1 Inspired by neural networks in the human brain, there have been many different versions in history. 1.2 The most famous algorithms are the backpropagation of the 1980.2. Multilayer forward neural networks (multilayer feed-forward neural network)The 2.1 backpropagation is used on a multilayer forward neural
Foundation of Neural Network
(Early Warning: This section begins with mathematical notation and the necessary calculus, linear algebra Operations) Overview of this section
As mentioned in the previous lecture, "Learning" is about getting the computer to automatically implement a complex function that completes the mapping from input x to output Y. The basic framework of machine learning is shown in the following illustration.
This section will apply
theoretical knowledge : Deep learning: 41 (Dropout simple understanding), in-depth learning (22) dropout shallow understanding and implementation, "improving neural networks by preventing Co-adaptation of feature detectors "Feel there is nothing to say, should be said in the citation of the two blog has been made very clear, direct test itNote :1. During the testing phase of the model, the output of the hidden layer is obtained by using "mean network"
HTML5APP practice (1): neural cats (1), html5app practice
In July 2014, the friends of our friends were refreshed by a mini-game called "enclose a mental cat. The white cat with its buttocks and waist slim twisted his waist in the cell phone screen. I learned a WebAPP development artifact: Gamebuilder + Cantk has a very efficient and smooth webapp development experience, and the development speed is far from the right. This section describes how to de
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.