Why GELU activation function is used instead of ReLu in BERT? So the only answer for "why use GELU instead of ReLu" is "because it works better" Edit: there is some explanation possible, see this blog (archive link to the blog post here ) relu can suffer from "problems where significant amount of neuron in the network become zero and don’t practically do anything "
Gelu activation in Python - Stack Overflow Hi I'm trying to using a gelu activation in a neural net I'm having trouble calling it in my layer I'm thinking its tf erf that is messing it up but I'm not well versed in tensorflow def gelu(x):
AttributeError: GELU object has no attribute approximate Newer pytorch versions introduced an optional argument for GELU, approximate=none||tanh, the default being none (no approximation), which pytorch 1 10 obviosly lacks You need to alter the old checkpoint and pick a side or downgrade pytorch
Error when converting a tf model to TFlite model I am currently building a model to use it onto my nano 33 BLE sense board to predict weather by mesuring Humidity, Pressure, Temperature, I have 5 classes