tf.contrib.distributions.StudentT.__init__(df, mu, sigma, validate_args=False, allow_nan_stats=True, name='StudentT') Construct
tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.input_dict
tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.value_type
tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.distribution
tf.contrib.distributions.TransformedDistribution.is_reparameterized
tf.contrib.distributions.Gamma.survival_function(value, name='survival_function') Survival function. Given
tf.contrib.rnn.CoupledInputForgetGateLSTMCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s).
tf.contrib.rnn.GridLSTMCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args:
tf.TensorArray.handle The reference to the TensorArray.
tf.contrib.distributions.Multinomial.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes
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