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

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

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

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

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

tf.contrib.learn.monitors.PrintTensor.run_on_all_workers

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

tf.contrib.learn.monitors.GraphDump.step_begin(step)

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

tf.contrib.learn.monitors.CheckpointSaver.__init__(checkpoint_dir, save_secs=None, save_steps=None, saver=None, checkpoint_basename='model.ckpt', scaffold=None)

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

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

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

tf.contrib.learn.monitors.StepCounter.run_on_all_workers

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

tf.contrib.learn.monitors.CaptureVariable.__init__(var_name, every_n=100, first_n=1) Initializes a CaptureVariable monitor.

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

class tf.contrib.learn.monitors.CaptureVariable Captures a variable's values into a collection. This

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

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

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