Quantitative Finance, Differential Equations, Option Pricing, Deep Neural Networks, Pytorch.
function nn.MSELoss() is chosen as the criterion to be minimised and Adam optimizer nn.optim.Adam(lr=3e-5)with a learning rate of 0.00003 is chosen for performing the weight updates. Training Error This method diverges from a typical Machine Learning Pipeline in a way because we require the model