Provide the automatic differentiation for Likelihood maximization routine
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Updated
Jun 24, 2022 - Python
Provide the automatic differentiation for Likelihood maximization routine
Implementing Neural Network on Irish data - evaluating accuracy, Mean Squared Error (MSE), Crossentropy and log-likelihood
This project demonstrates the segmentation of images using a Gaussian Mixture Model (GMM) and the Expectation-Maximization (EM) algorithm. The project applies these advanced machine learning techniques to segment both grayscale and color images, providing a comprehensive approach to image segmentation.
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