Low-Light Image Enhancement and Deep Learning with Python Course – Udemy, Jun 2024

Course Description:

The Low-Light Image Enhancement and Deep Learning with Python Course is based on teaching deep learning techniques for better low-light image enhancement. Students learn how to clear the image through practical projects and real-world examples to enhance image clearness, remove noise, and preprocess image data. If you want to take deep learning a step further and deal with real-world image processing issues, this course is for you.

The course starts with the basics of deep learning and uses deep learning to enhance images. They get hands-on experience using Python, TensorFlow, and Keras to build and train specific models to improve low-light images. Data preprocessing, augmentation, and advanced modelling techniques are key to achieving the best performance.

As for the second part of the course, we investigate image enhancement strategies such as selective kernel feature fusion, attention mechanisms, and multi-scale residual blocks and how to advance them for improved performance further. Students could then build state-of-the-art models to perform complex image enhancement tasks.

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