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

tf.inv(x, name=None) Computes the reciprocal of x element-wise. I.e., \(y = 1 / x\).

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

tf.image.adjust_saturation(image, saturation_factor, name=None) Adjust saturation of an RGB image. This

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

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

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

tf.contrib.graph_editor.get_ops_ios(ops, control_inputs=False, control_outputs=None, control_ios=None) Return all the tf.Operation

tf.contrib.learn.DNNRegressor.bias_

tf.is_numeric_tensor(tensor)