From: Detecting the patient’s need for help with machine learning based on expressions
Model: “sequential” Parameters: total 73,112; trainable: 73,112; non-trainable: 0 | ||
---|---|---|
Layer (type) | Output shape | Number of parameters |
rescaling_1 (Rescaling) | (None, 20, 25, 3) | 0 |
conv2d (Conv2D) | (None, 20, 25, 16) | 448 |
max_pooling2d (MaxPooling2D) | (None, 10, 12, 16) | 0 |
conv2d_1 (Conv2D) | (None, 10, 12, 32) | 4640 |
max_pooling2d_1 (MaxPooling2D) | (None, 5, 6, 32) | 0 |
conv2d_2 (Conv2D) | (None, 5, 6, 64) | 18,496 |
max_pooling2d_2 (MaxPooling2D) | (None, 2, 3, 64) | 0 |
flatten (Flatten) | (None, 384) | 0 |
dense (Dense) | (None, 128) | 49,280 |
dense_1 (Dense) | (None, 2) | 258 |