Deep Learning
What is ReLU? How is it better than sigmoid?
ReLU is an activation function and it solves the problem of vanishing gradient since it doesn't saturates on higher values.
Proposed by @Al_Grigor
ReLU is an activation function and it solves the problem of vanishing gradient since it doesn't saturates on higher values.
Proposed by @Al_Grigor
Card 1 of 197. Answer: ReLU is an activation function and it solves the problem of vanishing gradient since it doesn't saturates on higher values.