Computational and Mathematical Methods in Medicine / 2019 / Article / Tab 3

Research Article

Automatic Prediction of Meningioma Grade Image Based on Data Amplification and Improved Convolutional Neural Network

Table 3

Impact of different activation functions on network test results.

SigmoidTanhReLUELU

CharacteristicsGradient disappearsConvergence speed is faster than Sigmoid; gradient disappearsThe input is positive, the gradient does not disappear; the input is negative, the gradient disappears.It combines sigmoid and ReLU; and gradient disappears
Test accuracy rate70.00%56.67%76.67%83.33%

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