tf.contrib.distributions.Bernoulli.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given
tf.contrib.distributions.Poisson.log_pmf(value, name='log_pmf') Log probability mass function. Args:
tf.contrib.distributions.InverseGamma.validate_args Python boolean indicated possibly expensive checks are enabled.
tf.nn.rnn_cell.GRUCell.state_size
tf.contrib.distributions.Laplace.scale Distribution parameter for scale.
tf.contrib.learn.monitors.StepCounter.every_n_step_end(current_step, outputs)
class tf.contrib.bayesflow.stochastic_tensor.BinomialTensor BinomialTensor is a StochasticTensor backed
tf.contrib.distributions.MultivariateNormalFull.is_reparameterized
tf.python_io.TFRecordWriter.__enter__() Enter a with block.
tf.contrib.framework.with_shape(expected_shape, tensor) Asserts tensor has expected shape. If
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