(self, X_train)
| 312 | self.is_initialized = True |
| 313 | |
| 314 | def forward(self, X_train): |
| 315 | Xs = {} |
| 316 | out = X_train |
| 317 | for k, v in self.layers.items(): |
| 318 | Xs[k] = out |
| 319 | out = v.forward(out) |
| 320 | return out, Xs |
| 321 | |
| 322 | def backward(self, grad): |
| 323 | dXs = {} |