tf.contrib.distributions.InverseGamma.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a

tf.nn.rnn_cell.LSTMCell.__call__(inputs, state, scope=None) Run one step of LSTM. Args:

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.mean(name='mean') Mean.

tf.image.resize_bilinear(images, size, align_corners=None, name=None) Resize images to size using bilinear

tf.complex_abs(x, name=None) Computes the complex absolute value of a tensor. Given a tensor x

class tf.nn.rnn_cell.LSTMCell Long short-term memory unit (LSTM) recurrent network cell. The default

tf.contrib.distributions.Normal.log_pmf(value, name='log_pmf') Log probability mass function. Args:

tf.contrib.distributions.Poisson.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.distributions.Normal.mode(name='mode') Mode.

tf.contrib.bayesflow.stochastic_tensor.BetaTensor.clone(name=None, **dist_args)