(self)
| 199 | |
| 200 | # compute loss |
| 201 | def _create_loss(self): |
| 202 | loss_func = tf.losses.mean_squared_error |
| 203 | predict = tf.squeeze(self.probability) |
| 204 | self.loss = tf.math.reduce_mean(loss_func(self._label, predict)) |
| 205 | tf.summary.scalar('loss', self.loss) |
| 206 | |
| 207 | # define optimizer and generate train_op |
| 208 | def _create_optimizer(self): |
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