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- AI-NN-PR
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- 2017-12-16
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- 杨敏松
Description: The Artificial Neural Networks (ANN) system appeared after 1940s. It is made up of a number of neurons with adjustable connection weights. It has the characteristics of massively parallel processing, distributed information storage, and good self-organizing and self-learning ability. The BP (Back Propagation) algorithm, also known as the error back propagation algorithm, is a supervised learning algorithm in the artificial neural network. The BP neural network algorithm can approximate any function in theory, and the basic structure is composed of nonlinear change units, and has a strong nonlinear mapping ability.
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| 07 神经网络与深度学习.pdf | 4995739 | 2017-12-16 |
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