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F.1 You train a Neural Network for 100 epochs, with a set of hyperparameters. You then train itagain, also for 100 epochs, with the exact same set of hyperparameters. Despite using the samehyperparameters, the loss converges to different values for each run. What would explain this difference?(select all)a) Different random weights at initialization.b) A different batch size.c) Shuffling the training dataset at each epoch.d) Shuffling the validation dataset at each epoch.e) None of the above.
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