Nesterov(η = 0.001, ρ = 0.9)

Gradient descent optimizer with learning rate η and Nesterov momentum ρ.

Parameters

• Learning rate ( η): Amount by which gradients are discounted before updating the weights.

• Nesterov momentum ( ρ): Controls the acceleration of gradient descent in the prominent direction, in effect damping oscillations.

Examples

			
			
			
			opt
			 
			=
			 
			

			Nesterov
			(
			)
			

			

			
			opt
			 
			=
			 
			

			Nesterov
			(
			0.003
			,
			 
			0.95
			)