tf.contrib.learn.monitors.ValidationMonitor.end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.ValidationMonitor.end(session=None)

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tf.contrib.learn.monitors.EveryN.begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.EveryN.begin(max_steps=None) Called at the beginning of training. When

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tf.contrib.learn.monitors.PrintTensor.every_n_step_end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.PrintTensor.every_n_step_end(step, outputs)

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tf.contrib.learn.monitors.PrintTensor.every_n_step_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.PrintTensor.every_n_step_begin(step)

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tf.contrib.learn.monitors.ValidationMonitor.every_n_step_end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.ValidationMonitor.every_n_step_end(step, outputs)

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tf.contrib.learn.monitors.ExportMonitor.set_estimator()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.ExportMonitor.set_estimator(estimator) A setter called automatically by the target estimator.

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tf.contrib.learn.monitors.StopAtStep.epoch_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.StopAtStep.epoch_begin(epoch) Begin epoch. Args:

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tf.contrib.learn.monitors.NanLoss.every_n_step_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.NanLoss.every_n_step_begin(step)

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tf.contrib.learn.monitors.PrintTensor.step_end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.PrintTensor.step_end(step, output) Overrides BaseMonitor.step_end. When

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tf.contrib.learn.monitors.GraphDump.post_step()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.GraphDump.post_step(step, session) Callback after the step is finished. Called

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