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




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




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




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




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




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




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




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




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




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




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




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




