Title: 第5章 Download
  • Category:
  • AI-NN-PR
  • Platform:
  • Python
  • File Size:
  • 2048
  • Update:
  • 2020-09-14
  • Downloads:
  • 0
  • Uploaded by:
  • jinggggg
 Description: In many cases, the neural network model built by deep learning algorithm needs to be optimized in some form. This is very important, only after the optimization of the network, in order to achieve good results in solving problems after training. The most direct purpose of optimization is to update parameters more accurately. The training process of general neural network can be roughly divided into two stages: in the first stage, the predicted value is calculated by the forward propagation algorithm, and the difference between the predicted value and the real value is obtained; in the second stage, the loss function is calculated by the back-propagation algorithm for each parameter According to the gradient and learning rate, the gradient descent algorithm is used to update each parameter.
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第5章\5.4 0 2018-06-15
第5章\5.4\5.4-1.py 439 2018-03-29
第5章\5.4\5.4-2.py 3333 2018-03-30
第5章\5.4\5.4-3.py 840 2018-05-07
第5章 0 2018-06-15

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