tf.contrib.learn.TensorFlowRNNClassifier.export(*args, **kwargs) Exports inference graph into given dir. (deprecated arguments)

tf.contrib.distributions.Dirichlet.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D

class tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor MultivariateNormalDiagPlusVDVTTensor

tf.contrib.distributions.LaplaceWithSoftplusScale.__init__(loc, scale, validate_args=False, allow_nan_stats=True, name='LaplaceWithSoftplusScale')

tf.multinomial(logits, num_samples, seed=None, name=None) Draws samples from a multinomial distribution.

tf.contrib.learn.monitors.SummaryWriterCache.get(logdir) Returns the SummaryWriter for the specified directory.

tf.contrib.learn.LinearRegressor.dnn_weights_ Returns weights of deep neural network part.

tf.contrib.learn.TensorFlowRNNClassifier.weights_ Returns weights of the rnn layer.

tf.contrib.layers.separable_convolution2d(*args, **kwargs) Adds a depth-separable 2D convolution with optional batch_norm layer

tf.scan(fn, elems, initializer=None, parallel_iterations=10, back_prop=True, swap_memory=False, infer_shape=True, name=None) scan