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

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

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

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

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

tf.contrib.learn.monitors.CaptureVariable.values Returns the values captured so far. Returns:

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

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

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

tf.contrib.learn.monitors.GraphDump.end(session=None) Callback at the end of training/evaluation. Args: