14 July 2021 3 2K Report

Two different training methods。

Suppose CNN has 2 convolutional layers.

Case 1. CNN training 10 times,epoch=10.Get the accuracy, i.e. Acc_1=90%

Case 2.

  • Start training
  • After changing the number of filters in the first convolutional layer, train the network 10 times.
  • Save the network's best weight W1.
  • Load W1, change the filter of the second convolutional layer, and then train the network 10 times.
    • End training.
    • Get the accuracy, i.e. Acc_2=80%

    Question 1 :How many times does the neural network train, in the Case 2 ?

    Question 2 :Can we say that the case 1 has better results than the case 2 in a comparison experiment?

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