Lines Matching refs:loss
143 loss: 0-D Tensor representing loss to be minimized.
158 loss = tf.reduce_mean(
164 tf.summary.scalar("loss", loss)
178 return loss, accuracy
181 def minimize_loss_single_machine(loss,
185 """Minimize loss with K-FAC on a single machine.
190 loss: 0-D Tensor. Loss to be minimized.
207 train_op = optimizer.minimize(loss, global_step=global_step)
213 [global_step, loss, accuracy, train_op, optimizer.cov_update_op])
219 tf.logging.info("global_step: %d | loss: %f | accuracy: %s",
254 checkpoint_dir, loss, accuracy, layer_collection):
255 """Minimize loss with an synchronous implementation of K-FAC.
269 loss: 0-D Tensor. Loss to be minimized.
293 train_op = sync_optimizer.minimize(loss, global_step=global_step)
320 [global_step, loss, accuracy, learning_op])
321 tf.logging.info("global_step: %d | loss: %f | accuracy: %s", global_step_,
349 loss, accuracy = build_model(
353 return minimize_loss_single_machine(loss, accuracy, layer_collection)
401 loss = tf.reduce_mean(losses)
410 loss, accuracy, layer_collection, session_config=session_config)
446 loss, accuracy = build_model(
452 master, checkpoint_dir, loss, accuracy,
