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by fchollet on 2019-07-01 (UTC).

Gradient descent will take any shortcut available to map inputs to targets. Human perception works differently: it starts from a different input (embodied stream vs static images), it doesn't have a target for each input, and it isn't trained with SGD. https://t.co/coj5YmMwB3

— François Chollet (@fchollet) July 1, 2019
researchcvlearning
by slashML on 2019-07-02 (UTC).

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness https://t.co/ioRF2NpDvC

— /MachineLearning (@slashML) July 2, 2019
researchcv

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