dnn neural network

Learning is one of the most important and compelling features of neural networks. In the development process of neural network, the study of learning algorithm has a very important position. At present, the neural network model proposed by people is corresponding to the lear

The 1th chapter introduces the course of deep learning, mainly introduces the application category of deep learning, the demand of talents and the main algorithms. This paper introduces the course chapters, the course arrangement, the applicable crowd, the prerequisites and the degree to be achieved after the completion of the study, so that students have a basic understanding of the course. The 2nd chapter of Neural

Transferred from: http://dataunion.org/11692.htmlZhang YushiSince July this year, has been in the laboratory responsible for convolutional neural networks (convolutional neural network,cnn), during the configuration and use of Theano and Cuda-convnet, Cuda-convnet2. In order to enhance the understanding and use of CNN, this blog post, in order to communicate with

Absrtact: As the core technology of most computer vision system, CNN has made great contribution in the field of image classification. Starting from the use case of computer vision, this paper introduces CNN and its advantages in natural language processing and its function.When we hear convolutional neural networks (convolutional neural Network, CNNs), we tend t

This digest from: "Pattern recognition and intelligent computing--matlab technology implementation of the third edition" and "Matlab Neural network 43 Case Analysis" "Note" The Blue font for your own understanding part The advantages of radial basis function neural network: Approximation ability, classification ability

Overview This demo is very suitable for beginners AI and deep learning students, from the most basic knowledge, as long as there is a little bit of advanced mathematics, statistics, matrix of relevant knowledge, I believe you can see clearly. The program is written without the use of any third-party deep Learning Library, starting at the bottom. First, this paper introduces what is neural network, the chara

This article is the source code of their own reading a bit of summary. Please specify the source for the transfer.Welcome to communicate with you. qq:1037701636 Email:[email protected]Written in front of the gossip:Self-feeling should not be a very good at learning the algorithm of people. The past one months have been due to the need to contact the BP neural network. Until now, I have always felt that the

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 multiple arrays: one-dimensional signals and sequences, including languages; Two-dimensional image or audio spectrum, three-dimensional video or stereo image. Co

These two days in the study of artificial neural networks, using the traditional neural network structure made a small project to identify handwritten numbers as practiced hand. A bit of harvest and thinking, want to share with you, welcome advice, common progress.The usual BP neural

reversal of the convolutional neural network. For example, enter the word "cat" to train the network by comparing the images generated by the network with the real images of the cat, so that the network can produce images more like the cat. DN can be combined with ffnn like