Fig. 2: No overfitting in deep networks. | Nature Communications

Fig. 2: No overfitting in deep networks.

From: Complexity control by gradient descent in deep networks

Fig. 2: No overfitting in deep networks.The alternative text for this image may have been generated using AI.

Empirical and expected error in CIFAR-10 as a function of number of neurons in a 5-layer convolutional network. The expected classification error does not increase when increasing the number of parameters beyond the size of the training set.

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