neural agility

Author: one person 1. Deep neural networks are suitable for any field Depth neural network (deep neural Networks,DNN has made breakthrough advances in image classification, speech recognition, and natural language processing over the past few years. The application in practice has proved that it can be used as a very effective technical means in the field of big

Reprint: http://www.cnblogs.com/zhijianliutang/p/4067795.htmlObjectiveFor some time without our Microsoft Data Mining algorithm series, recently a little busy, in view of the last article of the Neural Network analysis algorithm theory, this article will be a real, of course, before we summed up the other Microsoft a series of algorithms, in order to facilitate everyone to read, I have specially compiled a catalogue outline: Big Data era: Easy to lear

Use a neural network to create a page that responds to a search keyword For a search engine, each user can click only a search result, instead of other content, to provide the engine with information about his or her preferences for the search results in a timely manner. Therefore, we can construct a neural network to provide the network with the words to be queried, the search results returned to users

The fourth lecture of Professor Geoffery Hinton's Neuron Networks for machine learning mainly describes how to use the back propagation algorithm to learn the characteristic representation of a vocabulary.Learning to predict the next wordThe next few sections focus on how to use the back propagation algorithm to learn the feature representation of a vocabulary. Starting with a very simple example, we introduce the use of the back propagation algorithm to convert the relevant information between

Civilization number" and the Central State organ "youth civilization" title.Smart Apps Intelligent processing is the core problem 20w Human brain Power consumption Multilayer large-scale neural network ≈ convolutional Neural Network + LRM (different feature map extracts different features to complete normalization) + Pooling (de-sampled) + Classifier (All-in-one, 2-3-tier) DeepMind: De

Artificial neural Network (ANN) is a mathematical model for information processing, which is similar to the structure of synaptic connection in the brain, in which a large number of nodes (or neurons) are connected to form a network, that is, "neural network", in order to achieve the purpose of processing messages, neural networks usually need to be trained, Trai

Recently has been looking at convolutional neural network, want to improve the improvement to make something new, read a lot of papers, wrote a review of Deep learning convolutional neural Network has some new understanding, and share with you.In fact, convolutional neural network is not a new algorithm, as early as the 80 's has been proposed, but the hardware i

Large Data Digest Authorized reprint Author: Huanghai Since August 2016, Wunda's start-up deeplearning.ai through Coursera to provide the latest online course of in-depth learning, and by February, Miss Wu updated the fifth part of the course (click to view the report of the large Data Digest), which takes six months. This article will focus on the fourth week of teacher Wunda's video content and notes, showing some important convolution neural netw

This chapter does not involve too many neural network principles, but focuses on how to use the Torch7 neural networkFirst require (equivalent to the C language include) NN packet, the packet is a dependency of the neural network, remember to add ";" at the end of the statement, this is the same as MATLAB will print out the data. Torch allows us to design our own

Original page: Visualizing parts of convolutional neural Networks using Keras and CatsTranslation: convolutional neural network Combat (Visualization section)--using Keras to identify cats It is well known, that convolutional neural networks (CNNs or Convnets) has been the source of many major breakthroughs in The field of deep learning in the last few years, but

Deep learning veteran Yann LeCun detailed convolutional neural network The author of this article: Li Zun 2016-08-23 18:39 This article co-compiles: Blake, Ms Fenny Gao Lei Feng Net (public number: Lei Feng net) Note: convolutional Neural Networks (convolutional neural network) is a feedforward neur