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MNIST handwritten digits learned sequentially using MLP

After a task has been learned for n amount of steps, we switch to another task to learn never to repeat the same task. The performance on older tasks decreases because of catastrophic forgetting.

Small note: The task is defined as a regression task where the input is a flattend image and the output is the corresponding number.
Different scale is used for each subplot.

Loss different tasks


Accuracy different tasks

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Catastrophic forgetting on MNIST digets with MLP

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