albertofernandezvillan/computer-vision-and-deep-learning-course
This repository contains both a collection of Jupyter Notebooks as well as other resources (e.g. presentations, links, ...) that are going to be used during the "Second quarter university extension courses" that the University of Oviedo is going to teach (online).
This collection of Jupyter Notebooks and resources helps individuals learn and apply computer vision and deep learning techniques. It guides you through using Python and popular libraries like OpenCV, Scikit-learn, TensorFlow, Keras, and PyTorch for image and video processing. It's designed for computer science students or professionals with some programming background who want to delve into AI for visual data.
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Use this if you want to learn how to process and analyze digital images and video using modern AI and deep learning methods, starting from foundational concepts.
Not ideal if you are looking for a plug-and-play tool for immediate deployment of computer vision applications without needing to understand the underlying programming and concepts.
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May 11, 2021
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