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. 2022 Dec 21;13:1017064. doi: 10.3389/fpsyt.2022.1017064

TABLE 1.

The convolutional neural network for facial expression recognition.

Convolution block Output shape Layer
conv2d 48 × 48 × 64 batch_normalization
Activation
conv2d_1 24 × 24 × 64 batch_normalization_1
activation_1
max_pooling2d
conv2d_2 24 × 24 × 128 batch_normalization_2
activation_2
conv2d_3 12 × 12 × 128 batch_normalization_3
activation_3
max_pooling2d_1
conv2d_4 12 × 12 × 256 batch_normalization_4
activation_4
conv2d_5 6 × 6 × 256 batch_normalization_5
activation_5
max_pooling2d_2
conv2d_6 6 × 6 × 512 batch_normalization_6
activation_6
conv2d_7 3 × 3 × 512 batch_normalization_7
activation_7
max_pooling2d_3
1 × 1 × 7 dropout, 2-d fc, softmax