This simulation visualizes gradient descent methods in different situations. The main motivation behind that is to better understand optimizers which are being used by deep learning frameworks. The following optimizers are implemented: SGD, SGD Momentum, Nesterov Momentum, AdaGrad, RMSProp, Adam

• Languages
  Python
• Libraries
  Numpy, Matplotlib
• Tools
  Git
• Source Code
  Github Repository