tf.QueueBase.enqueue()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.QueueBase.enqueue(vals, name=None) Enqueues one element to this queue. If the queue is full

2025-01-10 15:47:30
tf.transpose()
  • References/Big Data/TensorFlow/TensorFlow Python/Math

tf.transpose(a, perm=None, name='transpose') Transposes a. Permutes the dimensions according to perm

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

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.value_type

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tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

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tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.mean()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.mean(name='mean') Mean.

2025-01-10 15:47:30
tf.nn.rnn_cell.BasicLSTMCell.state_size
  • References/Big Data/TensorFlow/TensorFlow Python/Neural Network RNN Cells

tf.nn.rnn_cell.BasicLSTMCell.state_size

2025-01-10 15:47:30
tf.contrib.distributions.LaplaceWithSoftplusScale.parameters
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.LaplaceWithSoftplusScale.parameters Dictionary of parameters used by this Distribution.

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tf.contrib.distributions.Categorical
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

class tf.contrib.distributions.Categorical Categorical distribution. The categorical distribution

2025-01-10 15:47:30
tf.WholeFileReader.restore_state()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.WholeFileReader.restore_state(state, name=None) Restore a reader to a previously saved state. Not

2025-01-10 15:47:30
tf.contrib.framework.get_graph_from_inputs()
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

tf.contrib.framework.get_graph_from_inputs(op_input_list, graph=None) Returns the appropriate graph to use for the given inputs

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