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Here’s a great article on avoiding overfitting in deep neural networks.

No one is too legit to overfit.

Training a deep neural network that can generalize well to new data is a challenging problem. A model with too little capacity cannot learn the problem, whereas a model with too much capacity can learn it too well and overfit the training dataset. Both cases result in a model […]

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