tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.clone()
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

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

2025-01-10 15:47:30
tf.contrib.distributions.ExponentialWithSoftplusLam.log_prob()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.ExponentialWithSoftplusLam.log_prob(value, name='log_prob') Log probability density/mass function (depending

2025-01-10 15:47:30
tf.errors.UnavailableError
  • References/Big Data/TensorFlow/TensorFlow Python/Running Graphs

class tf.errors.UnavailableError Raised when the runtime is currently unavailable. This exception

2025-01-10 15:47:30
tf.contrib.bayesflow.stochastic_tensor.SampleValue
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

class tf.contrib.bayesflow.stochastic_tensor.SampleValue Draw n samples along a new outer dimension. This

2025-01-10 15:47:30
tf.errors.DeadlineExceededError.
  • References/Big Data/TensorFlow/TensorFlow Python/Running Graphs

tf.errors.DeadlineExceededError.__init__(node_def, op, message) Creates a DeadlineExceededError.

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tf.nn.rnn_cell.DropoutWrapper.state_size
  • References/Big Data/TensorFlow/TensorFlow Python/Neural Network RNN Cells

tf.nn.rnn_cell.DropoutWrapper.state_size

2025-01-10 15:47:30
tf.contrib.graph_editor.SubGraphView.is_passthrough()
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.SubGraphView.is_passthrough(t) Check whether a tensor is passthrough.

2025-01-10 15:47:30
tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.graph
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.graph

2025-01-10 15:47:30
tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.loss()
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.loss(final_loss, name='Loss')

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tf.contrib.framework.add_model_variable()
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

tf.contrib.framework.add_model_variable(var) Adds a variable to the GraphKeys.MODEL_VARIABLES collection.

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