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

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

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

class tf.contrib.learn.monitors.PrintTensor Prints given tensors every N steps. This is an EveryN

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

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

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

tf.contrib.learn.monitors.SummarySaver.run_on_all_workers

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

class tf.contrib.learn.monitors.NanLoss NaN Loss monitor. Monitors loss and stops training if

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

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

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

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

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

tf.contrib.learn.monitors.ExportMonitor.every_n_step_begin(step) Callback before every n'th step begins.

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

tf.contrib.learn.monitors.CaptureVariable.run_on_all_workers

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

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

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