In this course, you will learn
- The field of computer vision to an advanced practitioner with real-world insights.
- Take advantage of PyTorch's functionalities such as tensors, dynamic graphs, auto-differentiation, and more.
- Explore various computer-vision sub-topics, such as Conv nets, ResNets, Neural Style Transfer, data augmentation, and more.
- Build state-of-the-art, industrial image classification algorithms.
- Effortlessly split, augment, and draw conclusions from datasets.
- Extract information effortlessly from groundbreaking research papers.