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

2025-01-10 15:47:30
tf.train.shuffle_batch_join()
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.train.shuffle_batch_join(tensors_list, batch_size, capacity, min_after_dequeue, seed=None, enqueue_many=False, shapes=None, allow_smaller_final_batch=False, shared_name=None

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

tf.contrib.training.NextQueuedSequenceBatch.save_state(state_name, value, name=None) Returns an op to save the current batch of

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tf.FixedLenSequenceFeature.
  • References/Big Data/TensorFlow/TensorFlow Python/Inputs and Readers

tf.FixedLenSequenceFeature.__new__(_cls, shape, dtype, allow_missing=False) Create new instance of FixedLenSequenceFeature(shape

2025-01-10 15:47:30
tf.assert_greater_equal()
  • References/Big Data/TensorFlow/TensorFlow Python/Asserts and boolean checks.

tf.assert_greater_equal(x, y, data=None, summarize=None, message=None, name=None) Assert the condition x >= y

2025-01-10 15:47:30
tf.matrix_inverse()
  • References/Big Data/TensorFlow/TensorFlow Python/Math

tf.matrix_inverse(input, adjoint=None, name=None) Computes the inverse of one or more square invertible matrices or their

2025-01-10 15:47:30
tf.reduce_prod()
  • References/Big Data/TensorFlow/TensorFlow Python/Math

tf.reduce_prod(input_tensor, reduction_indices=None, keep_dims=False, name=None) Computes the product of elements across dimensions

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

tf.contrib.distributions.TransformedDistribution.log_cdf(value, name='log_cdf') Log cumulative distribution function.

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

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

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

class tf.contrib.distributions.Bernoulli Bernoulli distribution. The Bernoulli distribution is

2025-01-10 15:47:30