My quick write-up on the limitations of deep learning: https://blog.keras.io/the-limitations-of-deep-learning.html … It's meant as an intro to tomorrow's post on the future of DL
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Great post! Where the failure of DNNs to classify inverted color MNIST digits fits in all this?
Local generalization. You can't expect a statistical model to generalize to data that doesn't fit its training distribution.
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Thanks!
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