tf.contrib.layers.l1_regularizer()

tf.contrib.layers.l1_regularizer(scale, scope=None) Returns a function that can be used to apply L1 regularization to weights. L1 regularization encourages sparsity. Args: scale: A scalar multiplier Tensor. 0.0 disables the regularizer. scope: An optional scope name. Returns: A function with signature l1(weights) that apply L1 regularization. Raises: ValueError: If scale is negative or if scale is not a float.

tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor

class tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor GammaWithSoftplusAlphaBetaTensor is a StochasticTensor backed by the distribution GammaWithSoftplusAlphaBeta.

tensorflow::PartialTensorShapeUtils

Static helper routines for PartialTensorShape. Includes a few common predicates on a partially known tensor shape. Member Details string tensorflow::PartialTensorShapeUtils::PartialShapeListString(const gtl::ArraySlice< PartialTensorShape > &shapes) bool tensorflow::PartialTensorShapeUtils::AreCompatible(const gtl::ArraySlice< PartialTensorShape > &shapes0, const gtl::ArraySlice< PartialTensorShape > &shapes1)

tf.contrib.learn.monitors.LoggingTrainable.every_n_step_begin()

tf.contrib.learn.monitors.LoggingTrainable.every_n_step_begin(step)

tf.errors.UnavailableError.__init__()

tf.errors.UnavailableError.__init__(node_def, op, message) Creates an UnavailableError.

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.mean()

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.mean(name='mean')

tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.name

tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.name

tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.mean()

tf.contrib.bayesflow.stochastic_tensor.TransformedDistributionTensor.mean(name='mean')

tf.contrib.bayesflow.stochastic_tensor.BetaTensor.mean()

tf.contrib.bayesflow.stochastic_tensor.BetaTensor.mean(name='mean')

tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.dtype