tf.contrib.framework.assign_from_values_fn(var_names_to_values) Returns a function that assigns specific variables from the given
tf.image.per_image_whitening(image) Linearly scales image to have zero mean and unit norm. This
tf.contrib.distributions.Distribution.pdf(value, name='pdf') Probability density function. Args:
Status tensorflow::Env::GetFileSize(const string &fname, uint64 *file_size) Stores the size of fname in *file_size
tf.contrib.distributions.Dirichlet.log_prob(value, name='log_prob') Log probability density/mass function (depending on
tf.contrib.learn.BaseEstimator.get_variable_names() Returns list of all variable names in this model.
tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes
tf.contrib.distributions.Gamma.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor
tf.contrib.distributions.BernoulliWithSigmoidP.pmf(value, name='pmf') Probability mass function. Args:
tf.contrib.distributions.BernoulliWithSigmoidP.prob(value, name='prob') Probability density/mass function (depending on
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