tf.contrib.distributions.TransformedDistribution.param_static_shapes()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.TransformedDistribution.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

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

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

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

tf.invert_permutation(x, name=None) Computes the inverse permutation of a tensor. This operation

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

tf.contrib.distributions.Categorical.survival_function(value, name='survival_function') Survival function. Given

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tf.contrib.distributions.Chi2WithAbsDf.mean()
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2WithAbsDf.mean(name='mean') Mean.

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

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

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

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

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tf.contrib.training.bucket()
  • References/Big Data/TensorFlow/TensorFlow Python/Training

tf.contrib.training.bucket(tensors, which_bucket, batch_size, num_buckets, num_threads=1, capacity=32, shapes=None, dynamic_pad=False, allow_smaller_final_batch=False

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

tf.contrib.distributions.Categorical.log_pdf(value, name='log_pdf') Log probability density function.

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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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