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基于卷积神经网络手写体深度学习算法研究.pdf

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基于卷积神经网络手写体深度学习算法研究.pdf

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文档介绍:Computer Science and Application 计算机科学与应用, 2018, 8(11), 1773-1781
Published Online November 2018 in Hans.
/


Research on Deep Learning Algorithm about
Handwriting Based on the Convolutional
Neural Network
Liying Ma
Shanghai DianJi University, Shanghai


Received: Nov. 7th, 2018; accepted: Nov. 19th, 2018; published: Nov. 26th, 2018



Abstract
Deep learning is a collection of algorithms that are used to solve related problems such as image
and text. As an important algorithm for deep learning, convolutional neural network is especially
good at image processing field. The convolution neural network extracts the various features of
the image through the convolution kernel, and its orders of magnitude are greatly reduced by
weight sharing and pooling. In this paper, MINST handwritten database is used as training sample
to discuss the reverse propagation mechanism of weight value of convolutional neural network,
and the implementation method with MATLAB; In order to obtain the optimal correction parame-
ter