(self, X)
| 42 | return current_input |
| 43 | |
| 44 | def forward(self, X): |
| 45 | Z = X |
| 46 | for ae in self.hidden_layers: |
| 47 | Z = ae.forward_hidden(Z) |
| 48 | return Z |
| 49 | |
| 50 | def fit_to_input(self, k, learning_rate=1.0, mu=0.99, epochs=100000): |
| 51 | # This is not very flexible, as you would ideally |
no test coverage detected