fast artificial neural network

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Deep learning--the artificial neural network and the upsurge of research

Deep learning--the artificial neural network and the upsurge of researchHu XiaolinThe artificial neural network originates from the last century 40 's, to today already 70 years old. Like a person's life, has experienced the rise and fall, has had

Getting Started with neural network programming

Transfer from http://www.cnblogs.com/heaad/archive/2011/03/07/1976443.htmlThe main contents of this paper include: (1) Introduce the basic principle of neural network, (2) Aforge.net the method of realizing Feedforward neural Network, (3) Matlab to

Neural Network algorithm

Content Summary:(1) introduce the basic principle of neural network(2) Aforge.net method of realizing Feedforward neural network(3) the method of Matlab to realize feedforward neural network---cited Examples  In this paper, fisher's iris data set is

The basic principle of deep neural network to identify graphic images

absrtact : This paper will analyze the basic principle of deep neural network to recognize graphic images in detail. For convolutional neural Networks, this paper will discuss in detail the principle and function of each layer in the network in the

Deep learning the significance of convolutional and pooled layers in convolutional neural networks

Why use convolution? In traditional neural networks, such as Multilayer perceptron (MLP), whose input is usually a feature vector, requires manual design features, and then the values of these features to form a feature vector, in the past decades

From image to knowledge: an analysis of the principle of deep neural network for Image understanding

absrtact : This paper will analyze the basic principle of deep neural network to recognize graphic images in detail. For convolutional neural Networks, this paper will discuss in detail the principle and function of each layer in the network in the

Introduction to artificial neural networks and the implementation and operation of single-layer networks-Use of the aforge. NET Framework (V)

Previous 4ArticleThis is a fuzzy system, which is different from the traditional value logic. The theoretical basis is fuzzy mathematics, so some friends are confused. If you are interested, please refer to relevant books, I recommend the "fuzzy

Deep Learning (Next) __ Convolution neural network

Convolution Neural network Convnets is used to process data with multiple array formats, such as a color image consisting of three two-dimensional arrays, which contains pixel intensities on three color channels. Many data forms are in the form of

Tricks efficient BP (inverse propagation algorithm) in neural network training

Tricks efficient BP (inverse propagation algorithm) in neural network trainingTricks efficient BP(inverse propagation algorithm) in neural network training[Email protected]Http://blog.csdn.net/zouxy09tricks! It's a word that's filled with mystery

Microsoft "Xiaoice" Dog and Artificial Neural Network (I)

the years 8 Month + Day, Microsoft "Xiaoice" network robot launched an image recognition skills, "Xiaoice know dog." How does "Xiaoice" know dogs? according to Microsoft, as long as the "Xiaoice" user "to send a picture containing a dog to the"

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