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

tf.contrib.distributions.ExponentialWithSoftplusLam.sample(sample_shape=(), seed=None, name='sample') Generate samples of the

tf.contrib.distributions.BernoulliWithSigmoidP.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.distributions.BetaWithSoftplusAB.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mean(name='mean') Mean. Additional documentation

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

tf.image.resize_image_with_crop_or_pad(image, target_height, target_width) Crops and/or pads an image to a target width and height

tf.contrib.distributions.Gamma.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor

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

tf.contrib.distributions.InverseGamma.is_continuous