Transfer Learning for Keras Feature Engineering (9.5)

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Transfer learning can be applied to feature engineering. The outputs from hidden layers inside of the pretrained neural network can be used as features. This video demonstrates how to use the hidden layer output from pretrained neural networks as features.

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From the outputs, it is possible to reverse engineer the 'features' it has discovered?

Nickle