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

tf.contrib.learn.monitors.EveryN.post_step(step, session)

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

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

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tf.contrib.learn.monitors.StopAtStep.run_on_all_workers
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.StopAtStep.run_on_all_workers

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

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

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

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

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

tf.contrib.learn.monitors.PrintTensor.epoch_end(epoch) End epoch. Args:

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

tf.contrib.learn.monitors.EveryN.every_n_step_end(step, outputs) Callback after every n'th step finished. This

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tf.contrib.learn.monitors.CheckpointSaver.run_on_all_workers
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.CheckpointSaver.run_on_all_workers

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tf.contrib.learn.monitors.RunHookAdapterForMonitors.after_run()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.RunHookAdapterForMonitors.after_run(run_context, run_values)

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

tf.contrib.learn.monitors.StepCounter.every_n_step_end(current_step, outputs)

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