Research Article
Landmark-Guided Local Deep Neural Networks for Age and Gender Classification
Table 2
The parameter settings in our experiments.
| Learning algorithm | SGD + momentum |
| Dropout probability for input/hidden units | 0.75/0.5 | Initial learning rate | 3 | Learning rate update rule | for each epoch | Initial/final momentum | 0.5/0.99 | Number of hidden units | 512 | Number of hidden layers | 3 | Activation function | ReLU |
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