How to Choose an Activation Function for Neural Networks
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- Опубліковано 8 лис 2022
- Vanishing/Exploding Gradients are two of the main problems we face when building neural networks. Before jumping into trying out fixes, it is important to understand what they mean, why they happen and what problems they cause for our neural networks. In this video, we will learn what it means for gradients to vanish or explode and we will take a quick look at what techniques there are in order to deal with vanishing or exploding gradients.
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Thanks! I've seen lots of videos on activation functions, but I never learned about these more advanced ones until now.
Thanks!
You're welcome
Hey, great video thanks! I can't locate the 'checkboxes' for seeing if I can use SELU or not. Can you guide me? Thnx
Relu'nun ne cok varyanti varmis😳
as i go deeper i lose the fight
Nooo, don't give up!
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You need to learn how to say saturate. It’s like hearing 500 funny jokes in ten minutes. It’s impossible to pay attention.