Neural-Style-Transfer

• This repository is a style transfer using a vgg19 classifier which is a premade neural network in pytorch with 36 layers
• The series of layers of convolution and pooling layers are made along with drouput regularization
• using the gram loss , style of the second image is copied in due course of the epoch of neural net
• using the MSE loss function , the difference between target image and the initiaal image is calculated
• then there are weights assigned so that there is a resolution to the problem between the tradeoff for style transfer and keeping . the identity of the image.
• reference : https://github.com/uda.city/deep-learning-v2-pytorch/tree/master/style-transfer