Explore the strange world of deep learning with this state of the art simulator. Your goal is to get the training data as deep as possible into the network to maximize the layer effect. To do this you can adjust some parameters of the network on-the-fly in order to guide your data. However, the results are needed quickly, and there are only so many preliminary results you can publish to extend your deadline.
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