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

tf.contrib.learn.monitors.StepCounter.every_n_post_step(step, session) Callback after a step is finished or end()

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

tf.contrib.learn.monitors.BaseMonitor.end(session=None) Callback at the end of training/evaluation. Args:

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

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

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

tf.contrib.learn.monitors.BaseMonitor.run_on_all_workers

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

class tf.contrib.learn.monitors.SummarySaver Saves summaries every N steps.

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

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

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

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

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tf.contrib.learn.monitors.SummarySaver.step_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.SummarySaver.step_begin(step) Overrides BaseMonitor.step_begin. When

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

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

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

tf.contrib.learn.monitors.StepCounter.__init__(every_n_steps=100, output_dir=None, summary_writer=None)

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