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

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

2016-10-14 13:06:31
tf.contrib.learn.monitors.EveryN.begin()

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

2016-10-14 13:06:11
tf.contrib.learn.monitors.PrintTensor.step_end()

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

2016-10-14 13:06:34
tf.contrib.learn.monitors.SummarySaver.every_n_step_end()

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

2016-10-14 13:06:44
tf.contrib.learn.monitors.NanLoss.every_n_step_begin()

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

2016-10-14 13:06:29
tf.contrib.learn.monitors.LoggingTrainable

class tf.contrib.learn.monitors.LoggingTrainable Writes trainable variable values into log every N steps. Write

2016-10-14 13:06:24
tf.contrib.learn.monitors.CaptureVariable.every_n_step_begin()

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

2016-10-14 13:06:03
tf.contrib.learn.monitors.StepCounter

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

2016-10-14 13:06:36
tf.contrib.learn.monitors.ValidationMonitor.every_n_step_end()

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

2016-10-14 13:06:48
tf.contrib.learn.monitors.EveryN.epoch_begin()

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

2016-10-14 13:06:11