Much of the data in the world are formatted as images. Image processing has become a crucial skill to have in your data science toolbox. This track covers the fundamentals, from image pre-processing to deep learning. You'll begin with image enhancement and restoration and move on to biomedical images to analyze more complex image types, like MRI scans and X-rays. The track concludes with a course on convolutional neural nets, where you'll learn to build powerful deep learning image classifiers.
Overview
Syllabus
- Image Processing in Python
- Learn to process, transform, and manipulate images at your will.
- Image Processing for Object Detection Models
- Biomedical Image Analysis in Python
- Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
- Image Modeling with Keras
- Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.
Taught by
Stephen Bailey, Ariel Rokem, and Rebeca Gonzalez
