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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

tf.contrib.learn.monitors.NanLoss.__init__(loss_tensor, every_n_steps=100, fail_on_nan_loss=True) Initializes NanLoss monitor

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

tf.contrib.learn.monitors.BaseMonitor.__init__()

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