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Autoencoders as Weight Initialization of Deep Classification Networks for Cancer versus Cancer Studies
In our experiments, we assess two different approaches when training the classification model: (a) fixing the weights, after pre-training the DAE, and (b) allowing fine-tuning of the entire classification network.
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