tf.scan()
  • References/Big Data/TensorFlow/TensorFlow Python/Higher Order Functions

tf.scan(fn, elems, initializer=None, parallel_iterations=10, back_prop=True, swap_memory=False, infer_shape=True, name=None) scan

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

tf.contrib.graph_editor.transform_op_in_place(info, op, detach_outputs=False) Transform a op in-place - experimental!

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

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.__init__()

2025-01-10 15:47:30
tf.contrib.learn.monitors.EveryN.post_step()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

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

tf.contrib.distributions.MultivariateNormalCholesky.entropy(name='entropy') Shanon entropy in nats.

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

tf.contrib.graph_editor.matcher.input_ops(*args) Add input matches.

2025-01-10 15:47:30
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