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

tf.nn.rnn_cell.BasicRNNCell.state_size

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.allow_nan_stats Python boolean describing behavior when a stat is undefined

tf.TFRecordReader.read_up_to(queue, num_records, name=None) Returns up to num_records (key, value pairs) produced by a reader

tf.contrib.distributions.Normal.sample_n(n, seed=None, name='sample_n') Generate n samples.

tf.contrib.distributions.Uniform.variance(name='variance') Variance.

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

class tf.contrib.distributions.MultivariateNormalFull The multivariate normal distribution on R^k.

tf.contrib.distributions.Chi2.is_continuous

tf.contrib.crf.viterbi_decode(score, transition_params) Decode the highest scoring sequence of tags outside of TensorFlow.