Quantitative Finance, Differential Equations, Option Pricing, Deep Neural Networks, Pytorch.
ineffective in these scenarios. The prior knowledge of general physical laws acts in the training of neural networks (NNs) as a regularization agent that limits the space of admissible solutions, increasing the correctness of the function approximation. This way, embedding this prior information