tf.contrib.distributions.Uniform.variance()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Uniform.variance(name='variance') Variance.

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tf.contrib.learn.monitors.NanLoss.run_on_all_workers
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.NanLoss.run_on_all_workers

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tf.contrib.learn.monitors.PrintTensor.post_step()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.PrintTensor.post_step(step, session)

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tf.contrib.distributions.WishartFull.log_prob()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.distributions.Gamma.log_survival_function()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Gamma.log_survival_function(value, name='log_survival_function') Log survival function.

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tf.contrib.rnn.CoupledInputForgetGateLSTMCell.zero_state()
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

tf.contrib.rnn.CoupledInputForgetGateLSTMCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s).

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tf.contrib.rnn.GridLSTMCell.state_tuple_type
  • References/Big Data/TensorFlow/TensorFlow Python/RNN

tf.contrib.rnn.GridLSTMCell.state_tuple_type

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tf.contrib.bayesflow.stochastic_graph.surrogate_loss()
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Graph

tf.contrib.bayesflow.stochastic_graph.surrogate_loss(sample_losses, stochastic_tensors=None, name='SurrogateLoss') Surrogate loss

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tf.contrib.losses.get_losses()
  • References/Big Data/TensorFlow/TensorFlow Python/Losses

tf.contrib.losses.get_losses(scope=None, loss_collection='losses') Gets the list of losses from the loss_collection.

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tf.sparse_to_dense()
  • References/Big Data/TensorFlow/TensorFlow Python/Sparse Tensors

tf.sparse_to_dense(sparse_indices, output_shape, sparse_values, default_value=0, validate_indices=True, name=None) Converts a

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