(self, X)
| 209 | plt.show() |
| 210 | |
| 211 | def forward(self, X): |
| 212 | Z = X |
| 213 | for c in self.convpool_layers: |
| 214 | Z = c.forward(Z) |
| 215 | Z = Z.flatten(ndim=2) |
| 216 | for h in self.hidden_layers: |
| 217 | Z = h.forward(Z) |
| 218 | return T.nnet.softmax(Z.dot(self.W) + self.b) |
| 219 | |
| 220 | def predict(self, X): |
| 221 | pY = self.forward(X) |