yao-jason/MLDS2018SPRING
Machine Learning and having it Deep and Structured (MLDS) in 2018 spring
This repository compiles practical assignments from a university course on deep learning. It provides hands-on examples for tasks like generating video captions, building chatbots, creating images from scratch or text descriptions, and applying style transfer. It's ideal for students, researchers, or practitioners looking to understand and implement various deep learning models through solved problems.
146 stars. No commits in the last 6 months.
Use this if you are studying or teaching advanced machine learning and want practical, solved examples for deep learning theory, sequence-to-sequence models, generative models, and reinforcement learning.
Not ideal if you are looking for a ready-to-use, production-grade application or a step-by-step beginner's tutorial with extensive explanations for non-technical users.
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Python
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Apr 19, 2019
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