Table 3 The proposed CNN hyperparameter configuration.

From: A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data

Hyperparameter

Value

Learning rate

0.001

Epoch

5

Batch size

32

Optimizer

Adam

Kernel size

[3, 3]

Convolution layers

[2conv-2conv]

Activation function

Relu

Pooling layers

[(2,2), (3,3)]

Padding/Stride

Same/(1,1)

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