📚 node [[activation function]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 2 - Introduction/Activation function.md by @KGBicheno
Activation function
Go to [[Week 2 - Introduction]] or back to the [[Main AI Page]]
Part of the page on [[Neural Networks]]
An activation function determines how a node responds to its inputs.
#ToDo Expand on the definition of Activation function.
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Activation Function.md by @KGBicheno
activation function
Go back to the [[AI Glossary]]
A function (for example, ReLU or sigmoid) that takes in the weighted sum of all of the inputs from the previous layer and then generates and passes an output value (typically nonlinear) to the next layer.
📖 stoas
- public document at doc.anagora.org/activation-function
- video call at meet.jit.si/activation-function
⥱ context
← back
(none)
(none)
↑ pushing here
(none)
(none)
↓ pulling this
(none)
(none)
🔎 full text search for 'activation function'