A creative deep learning project that blends the content of one image with the style of another using the power of VGG19 convolutional neural network and Gram matrix calculations to generate stunning artistic images.
Implemented Neural Style Transfer to explore deep learning concepts, using pretrained VGG19 to extract image features and Gram matrix to capture style patterns. This project demonstrates how AI can create unique artworks by combining content and style efficiently.
- 🖼️ Transfers artistic styles onto content images
- 🧠 Utilizes pretrained VGG19 for feature extraction
- ✨ Uses Gram matrix to represent and apply style textures
- 🔄 Optimizes generated images through iterative loss minimization
- 📊 Visualizes style and content losses during training
- 💻 Modular, easy-to-understand Python implementation