This study examines option pricing under the SVSI model using deep learning. Monte Carlo simulation combined with Conditional Monte Carlo variance as a re- duction technique is employed to generate high-precision data for training the neural network. The results demonstrate that deep learning can be effectively used for option pricing, offering advantages in both computational accuracy and speed.
