[D] Learnable activation function and aggregate (reduction) function
Any recent papers pointing to these ideas?
Activation function itself can be learned instead of fixing it to ReLU, tanh, etc.
https://arxiv.org/pdf/1412.6830.pdf (ICLR 2015).
And how about aggregate (reduction) functions like max-pool, average-pool ? Can they be learned instead of being fixed?
submitted by /u/tsauri
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