tf.erfc(x, name=None) Computes the complementary error function of x element-wise. Args:
tf.contrib.graph_editor.SubGraphView.__init__(inside_ops=(), passthrough_ts=()) Create a subgraph containing the given ops and
tf.contrib.distributions.BetaWithSoftplusAB.get_event_shape() Shape of a single sample from a single batch as a TensorShape
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.mean(name='mean') Mean.
tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.entropy(name='entropy')
class tf.nn.rnn_cell.GRUCell Gated Recurrent Unit cell (cf.
virtual Status tensorflow::WritableFile::Sync()=0
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.log_prob(value, name='log_prob') Log probability density/mass function
tf.contrib.distributions.Exponential.sample_n(n, seed=None, name='sample_n') Generate n samples.
tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.batch_shape(name='batch_shape') Shape of a single sample from a single
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