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Making variations in the hyperparameters are important to determine which parameters are contributing to making generalizations. Please, don't forget to experiment with different parameters.
Please generate a set of recommendations to enhance the AutoEncoder architecture. Do we need to train more? Do we need to train better? Is there any aspect of the Code2Vec research that we can employ at all?
Could you please elaborate on the idea of using AutoEncoders to embed non-compiled code? In which scenarios these AutoEncoders are useful?
The paper should reflect the topics explained in your presentation. Make sure to include the main aspects that you explain there in the discussion section.
Here is the final list of iS2S