One of the most rewarding (and challenging) aspects was the hands-on project work. For instance, in our recent work on image categorization, success wasn't just about hitting "run." It required meticulous dataset management—splitting 50,000 images into precise training and validation sets—and constantly monitoring loss curves to prevent overfitting. Why This Matters
Deep learning isn't just about "big data" anymore; it’s about how we interpret the world through signals. This semester, I dove into ELEC5307: Advanced Signal Processing with Deep Learning elec5307
A firm grasp of linear algebra and probability is vital. One of the most rewarding (and challenging) aspects