@alpizano Have a skeleton frameworking of training classes and network classes.
Due on 10-08-2019 before meeting with Gray
Using PyTorch and python, begin coding a neural network which accepts and outputs these values.
Write a skeleton function to train the network.
Inputs
R-ball (Radius of ball from the center)
R-zero (Radius of zero from the center)
Theta-ball (Angular position of the ball in radians)
Theta-zero (Angular position of the zero)
W-ball (Radial speed of the ball in radians)
W-zero (Radial speed of wheel)
a - ball (angular acceleration of the ball)
a - zero (angular acceleration of the wheel)
T-time step between frames
Outputs
Theta final ball - final angular position of the ball
Theta final zero - final angular position of the zero
@alpizano Have a skeleton frameworking of training classes and network classes.
Due on 10-08-2019 before meeting with Gray
Using PyTorch and python, begin coding a neural network which accepts and outputs these values.
Write a skeleton function to train the network.
Inputs
R-ball (Radius of ball from the center) R-zero (Radius of zero from the center) Theta-ball (Angular position of the ball in radians) Theta-zero (Angular position of the zero) W-ball (Radial speed of the ball in radians) W-zero (Radial speed of wheel) a - ball (angular acceleration of the ball) a - zero (angular acceleration of the wheel) T-time step between frames
Outputs
Theta final ball - final angular position of the ball Theta final zero - final angular position of the zero