TABLE 3.
Parameters used in a neural network for mask detection
| S. No. | Parameter | RD |
|---|---|---|
| 1 | Type | MobilenetV2 (Sandler et al., 2018) |
| 2 | Model | Sequential |
| 3 | Number of Input Neuron | the shape of the image is [None,224,224,3] |
| 4 | Number of Output Neuron | 2 |
| 5 | Number of Hidden Layers | All layers of Mobilenetv2 |
| 6 | Activation Function in Hidden Layer | ReLu |
| 7 | Output Layer Activation Function | Softmax |
| 8 | Optimization | Adam |
| 9 | Regularization Technique | Dropout with 0.5 at the second last layer |
| 10 | Mini‐Batch Size | 32 |
| 11 | Loss Function | Binary Cross‐Entropy |
| 12 | Metric | Accuracy |
| 13 | Return type [State or Sequence] | None |