Fine-tuning Stacked AEs
From Ufldl
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=== Introduction === | === Introduction === | ||
| - | Fine tuning is a strategy that is commonly | + | Fine tuning is a strategy that is commonly found in deep learning. As such, it can also be used to greatly improve the performance of a stacked autoencoder. From a high level perspective, fine tuning treats all layers of a stacked autoencoder as a single model, so that in one iteration, we are improving upon all the weights in the stacked autoencoder. |
=== General Strategy === | === General Strategy === | ||
