Transfer learning & fine-tuning - Deepstash

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Transfer learning & fine-tuning

keras.io

Transfer learning consists of taking features learned on one problem, and leveraging them on a new, similar problem. For instance, features from a model that has learned to identify racoons may be useful to kick-start a model meant to identify tanukis.

  1. Take layers from...

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