Table 4 Layer-wise architecture of the ANN model.
From: Enhancing fault detection in new energy vehicles via novel ensemble approach
Layer (Type) | Output Shape | Parameters |
|---|---|---|
Dense (dense_10) | (None, 512) | 4,096 |
Dropout (dropout_4) | (None, 512) | 0 |
Dense (dense_11) | (None, 256) | 131,328 |
Dropout (dropout_5) | (None, 256) | 0 |
Dense (dense_12) | (None, 128) | 32,896 |
Dense (dense_13) | (None, 64) | 8,256 |
Dense (dense_14) | (None, 32) | 2,080 |
Dense (dense_15) | (None, 1) | 33 |
Total Parameters | - | 178,689 (698.00 KB) |
Trainable Parameters | - | 178,689 |
Non-trainable Parameters | - | 0 |
