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

tf.truediv(x, y, name=None) Divides x / y elementwise, always producing floating point results. The

2025-01-10 15:47:30
tf.get_session_handle()
  • References/Big Data/TensorFlow/TensorFlow Python/Tensor Handle Operations

tf.get_session_handle(data, name=None) Return the handle of data. This is EXPERIMENTAL

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

tf.asin(x, name=None) Computes asin of x element-wise. Args:

2025-01-10 15:47:30
tf.contrib.distributions.Chi2WithAbsDf.alpha
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2WithAbsDf.alpha Shape parameter.

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

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

2025-01-10 15:47:30
tf.contrib.framework.VariableDeviceChooser
  • References/Big Data/TensorFlow/TensorFlow Python/Framework

class tf.contrib.framework.VariableDeviceChooser Device chooser for variables. When using a parameter

2025-01-10 15:47:30
tf.contrib.util.ops_used_by_graph_def()
  • References/Big Data/TensorFlow/TensorFlow Python/Utilities

tf.contrib.util.ops_used_by_graph_def(graph_def) Collect the list of ops used by a graph. Does

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

tf.pow(x, y, name=None) Computes the power of one value to another. Given a tensor x

2025-01-10 15:47:30
tf.image.resize_bilinear()
  • References/Big Data/TensorFlow/TensorFlow Python/Images

tf.image.resize_bilinear(images, size, align_corners=None, name=None) Resize images to size using bilinear

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

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.distribution

2025-01-10 15:47:30