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




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




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




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




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




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




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




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




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




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




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




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




