tf.contrib.learn.monitors.PrintTensor

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

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tf.contrib.learn.monitors.StopAtStep.run_on_all_workers

tf.contrib.learn.monitors.StopAtStep.run_on_all_workers

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tf.contrib.learn.monitors.ExportMonitor.step_end()

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

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tf.contrib.learn.monitors.NanLoss.every_n_post_step()

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

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tf.contrib.learn.monitors.GraphDump.data

tf.contrib.learn.monitors.GraphDump.data

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tf.contrib.learn.monitors.CaptureVariable.every_n_post_step()

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

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tf.contrib.learn.monitors.CaptureVariable.epoch_begin()

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

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tf.contrib.learn.monitors.SummarySaver.every_n_step_begin()

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

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tf.contrib.learn.monitors.NanLoss.step_end()

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

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tf.contrib.learn.monitors.LoggingTrainable.begin()

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

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