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Journal of Sensors
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2021
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Article
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Tab 3
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Research Article
A Lightweight Model for Traffic Sign Classification Based on Enhanced LeNet-5 Network
Table 3
The output data format of the input layer, every intermediate layer, and the output layer in our final model network.
Layers (type)
Output shape
Conv2d_1 (Conv2D)
(none, 28, 28, 60)
Conv2d_2 (Conv2D)
(none, 24, 24, 60)
Max_pooling2d_1 (MaxPooling1)
(none, 12, 12, 60)
Conv2d_3 (Conv2D)
(none, 10, 10, 30)
Conv2d_4 (Conv2D)
(none, 8, 8, 30)
Max_pooling2d_2 (MaxPooling2)
(none, 4, 4, 30)
Dropout_1 (dropout) (50%)
(none, 4, 4, 30)
Flatten_1 (flatten)
(none, 480)
Dense_1 (dense)
(none, 500)
Dropout_2 (dropout) (50%)
(none, 500)
Output layer
(none, 43)