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

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

2025-01-10 15:47:30
tf.contrib.learn.monitors.BaseMonitor.post_step()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.BaseMonitor.post_step(step, session) Callback after the step is finished. Called

2025-01-10 15:47:30
tf.contrib.learn.monitors.PrintTensor.begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

2025-01-10 15:47:30
tf.contrib.learn.monitors.NanLoss.every_n_step_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

2025-01-10 15:47:30
tf.contrib.learn.monitors.NanLoss.epoch_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

2025-01-10 15:47:30
tf.contrib.learn.monitors.CaptureVariable.begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

2025-01-10 15:47:30
tf.contrib.learn.monitors.ValidationMonitor.every_n_step_end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

2025-01-10 15:47:30
tf.contrib.learn.monitors.SummaryWriterCache.clear()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.SummaryWriterCache.clear() Clear cached summary writers. Currently only used for unit tests.

2025-01-10 15:47:30
tf.contrib.learn.monitors.StepCounter
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

class tf.contrib.learn.monitors.StepCounter Steps per second monitor.

2025-01-10 15:47:30
tf.contrib.learn.monitors.StopAtStep.step_end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.StopAtStep.step_end(step, output)

2025-01-10 15:47:30