Academic/Learning Projects
1. Image Captioning using Transformer
Built a Transformer decoder with custom positional encoding and attention layers, trained on 30,000 images to generate descriptive captions.
2. Self-Supervised Learning
Trained a ResNet18 using self-supervised rotation prediction, then fine-tuned for CIFAR-10 classification, achieving 80% accuracy.
3. Generative Adversarial Networks
Implemented DCGAN & LSGAN from scratch
4. Pixel-Level Semantic Segmentation
Utilized U-Net architecture to segment Corn & Soybeans from other crops on RapidEye Satellite Image.
5. Predictive Modeling
My first ever Machine Learning project.