Neural Style Transfer: A Technical Report

As a part of the CSN-526: Machine Learning Course Project, we worked on studying the effects of various factors like feature extractors, optimizers, loss functions and initialization techniques on the neural style transfer task.

We also proposed the use of pseudo ground truths for evaluating the performance under different settings.

For more info, please see the Code on GitHub.