GabrielDornelles/modern-computer-vision
My highly visual course to introduce the mathematics behind the modern computer vision. From linear classifiers to convnets.
This resource provides a highly visual course introducing the mathematical concepts behind modern computer vision, specifically focusing on neural networks for image classification. It takes image data as input and demonstrates how neural networks can learn to categorize or identify objects within those images. This is for anyone interested in understanding the fundamental 'how' and 'why' of image recognition technology, particularly those learning about machine learning.
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Use this if you want to understand the underlying mathematics and step-by-step mechanics of how modern computer vision models like convolutional neural networks (ConvNets) process and classify images.
Not ideal if you're looking for an out-of-the-box solution to apply computer vision to a specific dataset without diving into the mathematical details of model architecture and training.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Dec 04, 2022
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