ML2022-Spring
Visit ToolML2022-Spring is an educational tool that provides official course materials for a Machine Learning course. It includes code and slides for 15 homework assignments, along with lecture videos.
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ML2022-Spring is an educational tool that provides official course materials for a Machine Learning course. It includes code and slides for 15 homework assignments, along with lecture videos.
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About
ML2022-Spring is the official repository for the Machine Learning 2022 Spring course taught by Hung-yi Lee at National Taiwan University. This resource offers comprehensive materials for students and self-learners, including code and slides for 15 distinct homework assignments covering topics such as Regression, Classification, CNN, Transformer, GAN, BERT, Autoencoder, Explainable AI, Adversarial Attack, Adaptation, Reinforcement Learning, Network Compression, Life-Long Learning, and Meta Learning. All lecture videos are conveniently linked to Hung-Yi Lee's YouTube channel, providing a complete learning experience. It serves as a valuable academic resource for understanding and practicing machine learning concepts.
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