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




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




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




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




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




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




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




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




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




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




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




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




