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by makeset
4399 days ago
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Deep learning models are neural networks, but their recent popularization is due to a new method of building them incrementally, adding generative hidden layers trained as autoencoders to extract representative features, until the final discriminative layer. The resulting model is still a neural network, which can be finetuned by gradient methods, though conventionally training the same model from scratch with a random initialization would not have worked. |
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