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A deep learning inference engine for Go

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Following the `classification_sample`, implement a way to return the top N results from an inference along with the probabilities.

Implement an inference in as much as what is done in the `classification_sample`.

Wrap the image loading functionality of the inference engine, mirroring what happens in the `classification_sample`.

Figure out how to replicate the Inference Engine Configurator functionality in the `classification_sample` to initialize the inference engine.