tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.loss()

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.loss(final_loss, name='Loss')

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.value()

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.value(name='value')

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.entropy()

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.entropy(name='entropy')

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.graph

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.graph

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor

class tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor BernoulliWithSigmoidPTensor is a StochasticTensor backed by the distribution BernoulliWithSigmoidP.

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.BernoulliTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.BernoulliTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.clone()

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.clone(name=None, **dist_args)