For 1D functions, the program will generate a 2D plot of the function and the optimization path. For 2D functions, a 3D plot of the function's surface and the path taken by the gradient descent ...

2D Mode: Visualize gradient descent on 2D functions.; 3D Mode: Explore gradient descent on 3D surfaces.; Interactive: Adjust parameters like learning rate, number of iterations, and see how random ...

The efficacy and reliability of segmentation models heavily rely on the activation functions employed within deep learning architectures. However, a persistent challenge lies in the inability of ...

Abstract: Aiming at the problem that the 2D LiDAR reflective intensity feature of reflector in indoor laser multilateral localization is easily affected by the environment, which makes the ...