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

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tensorflow::Env::StartThread()
  • References/Big Data/TensorFlow/TensorFlow C++/Env

virtual Thread* tensorflow::Env::StartThread(const ThreadOptions &thread_options, const string &name, std::function< void()> fn) TF_MUST_USE_RESULT=0

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tf.contrib.distributions.Multinomial.log_pmf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Multinomial.log_pmf(value, name='log_pmf') Log probability mass function. Args:

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tf.contrib.distributions.MultivariateNormalDiag.pdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.MultivariateNormalDiag.pdf(value, name='pdf') Probability density function. Args:

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tensorflow::Tensor::flat()
  • References/Big Data/TensorFlow/TensorFlow C++/Tensor

TTypes<T>::Flat tensorflow::Tensor::flat() Return the tensor data as an Eigen::Tensor of the data type and

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tf.contrib.util.make_ndarray()
  • References/Big Data/TensorFlow/TensorFlow Python/Utilities

tf.contrib.util.make_ndarray(tensor) Create a numpy ndarray from a tensor. Create a numpy ndarray

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

class tf.contrib.bayesflow.stochastic_tensor.BernoulliTensor BernoulliTensor is a StochasticTensor backed

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tf.contrib.learn.monitors.StopAtStep.epoch_end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.StopAtStep.epoch_end(epoch) End epoch. Args:

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tensorflow::Thread::~Thread()
  • References/Big Data/TensorFlow/TensorFlow C++/Thread

tensorflow::Thread::Thread()

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tf.random_uniform()
  • References/Big Data/TensorFlow/TensorFlow Python/Constants, Sequences, and Random Values

tf.random_uniform(shape, minval=0, maxval=None, dtype=tf.float32, seed=None, name=None) Outputs random values from a uniform distribution

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