tf.contrib.learn.TensorFlowRNNClassifier.weights_ Returns weights of the rnn layer.
tf.contrib.distributions.Dirichlet.get_batch_shape() Shape of a single sample from a single event index as a TensorShape
class tf.contrib.learn.monitors.PrintTensor Prints given tensors every N steps. This is an EveryN
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.survival_function(value, name='survival_function') Survival function.
tf.image.transpose_image(image) Transpose an image by swapping the first and second dimension. See
tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.distribution
tf.contrib.distributions.BernoulliWithSigmoidP.__init__(p=None, dtype=tf.int32, validate_args=False, allow_nan_stats=True, name='BernoulliWithSigmoidP')
tf.contrib.distributions.Categorical.get_event_shape() Shape of a single sample from a single batch as a TensorShape
tf.contrib.framework.create_global_step(graph=None) Create global step tensor in graph. Args:
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mean(name='mean') Mean. Additional documentation
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