tf.minimum()
  • References/Big Data/TensorFlow/TensorFlow Python/Math

tf.minimum(x, y, name=None) Returns the min of x and y (i.e. x < y ? x : y) element-wise. NOTE:

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tf.errors.InternalError.
  • References/Big Data/TensorFlow/TensorFlow Python/Running Graphs

tf.errors.InternalError.__init__(node_def, op, message) Creates an InternalError.

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tf.nn.rnn_cell.MultiRNNCell.zero_state()
  • References/Big Data/TensorFlow/TensorFlow Python/Neural Network RNN Cells

tf.nn.rnn_cell.MultiRNNCell.zero_state(batch_size, dtype) Return zero-filled state tensor(s). Args:

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tf.contrib.distributions.BernoulliWithSigmoidP.entropy()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

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

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tf.contrib.learn.monitors.GraphDump.set_estimator()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.GraphDump.set_estimator(estimator) A setter called automatically by the target estimator.

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tf.contrib.distributions.BernoulliWithSigmoidP.cdf()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.BernoulliWithSigmoidP.cdf(value, name='cdf') Cumulative distribution function. Given

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

tf.contrib.distributions.Bernoulli.name Name prepended to all ops created by this Distribution.

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tf.contrib.distributions.Poisson.sample_n()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Poisson.sample_n(n, seed=None, name='sample_n') Generate n samples.

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

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sigma Scaling factors of these Student's t distribution(s).

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tf.where()
  • References/Big Data/TensorFlow/TensorFlow Python/Math

tf.where(input, name=None) Returns locations of true values in a boolean tensor. This operation

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