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doc_TensorFlow
doc_TensorFlow


tf.contrib.distributions.BetaWithSoftplusAB.is_reparameterized

tf.contrib.distributions.BetaWithSoftplusAB.is_reparameterized

tensorflow::Env::CreateDir()

Status tensorflow::Env::CreateDir(const string &dirname) Creates the specified directory.

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.input_dict

tf.Session.__exit__()

tf.Session.__exit__(exec_type, exec_value, exec_tb)

tf.QueueBase.size()

tf.QueueBase.size(name=None) Compute the number of elements in this queue. Args: name: A name for the operation (optional). Returns: A scalar tensor containing the number of elements in this queue.

tf.contrib.distributions.Normal.validate_args

tf.contrib.distributions.Normal.validate_args Python boolean indicated possibly expensive checks are enabled.

tf.errors.AbortedError.__init__()

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

tf.contrib.distributions.BaseDistribution

class tf.contrib.distributions.BaseDistribution Simple abstract base class for probability distributions. Implementations of core distributions to be included in the distributions module should subclass Distribution. This base class may be useful to users that want to fulfill a simpler distribution contract.

tf.contrib.distributions.Gamma.dtype

tf.contrib.distributions.Gamma.dtype The DType of Tensors handled by this Distribution.

tf.contrib.learn.Estimator.__repr__()

tf.contrib.learn.Estimator.__repr__()

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