About this courseSkip About this course
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.
What you'll learnSkip What you'll learn
- 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.
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