(self, X_train)
| 1128 | self.is_initialized = True |
| 1129 | |
| 1130 | def forward(self, X_train): |
| 1131 | Xs = {} |
| 1132 | out = X_train |
| 1133 | for k, v in self.layers.items(): |
| 1134 | Xs[k] = out |
| 1135 | out = v.forward(out) |
| 1136 | return out, Xs |
| 1137 | |
| 1138 | def backward(self, grad): |
| 1139 | dXs = {} |