[Retracted] Emotion Recognition of Students Based on Facial Expressions in Online Education Based on the Perspective of Computer Simulation

Table 1

The parameters of the applied CNN model.

Layers	Kernel number	Kernel size	Steps	Image size
Input	0	0	None	48 × 48 × 1
Convolutional 0	32	1 × 1	1	48 × 48 × 32
Convolutional 1-1	64	3 × 3	1	48 × 48 × 64
Convolutional 1-2	64	5 × 5	1	48 × 48 × 64
Pooling 1	0	2 × 2	2	24 × 24 × 64
Convolutional 2-1	64	3 × 3	1	24 × 24 × 64
Convolutional 2-2	64	5 × 5	1	24 × 24 × 64
Pooling 2	0	2 × 2	2	12 × 12 × 64
Fully connected 1		Dropout = 0.5		1 × 1 × 2048
Fully connected 2		Dropout = 0.5		1 × 1 × 1024
Output	0	0	None	1 × 1 × 8