ariseff / overcoming-catastrophic Goto Github PK
View Code? Open in Web Editor NEWImplementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
I found that the running time of compute_fisher becomes longer and longer. Do you know why this is the case? Thank you so much
I think fisher matrix should be calculated by second derivative of likelihood, but I notices its just uses gradient^2 so that I am confused. Can someone tell me which one is right?
Hi @ariseff , thanks for sharing the awesome code repo! :)
Your code works well, but I cannot understand why we need to do sampling from a multinomial distribution?
Can we replace it with argmax or just with no-sampling?
overcoming-catastrophic/model.py
Line 54 in cab6d86
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