`ExponentialTensor` is a `StochasticTensor` backed by the distribution `Exponential`.
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#### `tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)` {#ExponentialTensor.__init__}




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#### `tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.clone(name=None, **dist_args)` {#ExponentialTensor.clone}




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#### `tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.distribution` {#ExponentialTensor.distribution}




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#### `tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.dtype` {#ExponentialTensor.dtype}




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#### `tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.entropy(name='entropy')` {#ExponentialTensor.entropy}




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#### `tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.graph` {#ExponentialTensor.graph}




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#### `tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.input_dict` {#ExponentialTensor.input_dict}




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#### `tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.loss(final_loss, name='Loss')` {#ExponentialTensor.loss}




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#### `tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.mean(name='mean')` {#ExponentialTensor.mean}




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#### `tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.name` {#ExponentialTensor.name}




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#### `tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.value(name='value')` {#ExponentialTensor.value}




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#### `tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.value_type` {#ExponentialTensor.value_type}




