Explore, manipulate, and analyze images using Python packages for computer vision.
Implement image classification using classical machine learning and deep learning techniques.
Use data augmentation and transfer learning to create highly-effective convolutional neural networks (CNNs)
Go beyond image classification to use object detection and semantic segmentation models.
Computer Vision is the art of distilling actionable information from images.
In this hands-on course, we’ll learn about Image Analysis techniques using Python packages like PIL, Scikit-Image, OpenCV, and others. You’ll then explore machine learning for computer vision, including deep learning techniques for image classification, object detection, and semantic segmentation; using industry-standard machine learning frameworks like SciKit-Learn, Keras, and PyTorch.
Working knowledge of Python
Skills equivalent to the following courses
DAT263x: Introduction to AI
DAT236x: Deep Learning Explained