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EZI 기술 블로그 JU
LSTM Autoencoder에서 loss가 exploding 본문
1) 활성화 함수가 relu계열일 때 다른 활성화 함수로 변경
2) clipnorm / clipvalue 사용해보기
One way to fix the exploding gradient is to use clipnorm or clipvalue for the optimizer
Try something like this for the last two lines
For clipnorm:
opt = tf.keras.optimizers.Adam(clipnorm=1.0)For clipvalue:
opt = tf.keras.optimizers.Adam(clipvalue=0.5)> Gradient clipping을 하는 이유 : gradient가 일정 threshold를 넘어가면 clipping을 적용하여 exploding 방지
https://stackoverflow.com/questions/60776782/explosion-in-loss-function-lstm-autoencoder
Explosion in loss function, LSTM autoencoder
I am training a LSTM autoencoder, but the loss function randomly shoots up as in the picture below: I tried multiple to things to prevent this, adjusting the batch size, adjusting the number of ne...
stackoverflow.com
https://sanghyu.tistory.com/87
[PyTorch] Gradient clipping (그래디언트 클리핑)
Gradient clipping을 하는 이유 주로 RNN계열에서 gradient vanishing이나 gradient exploding이 많이 발생하는데, gradient exploding을 방지하여 학습의 안정화를 도모하기 위해 사용하는 방법이다. Gradient clipping과 L
sanghyu.tistory.com
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