yao-jason/ADL2019
Applied Deep Learning (2019 Spring) @ NTU
This resource provides foundational code examples and explanations for key deep learning tasks. It takes raw text data or environmental observations and processes them to produce dialogue models, contextual embeddings for text, reinforcement learning agents, and generated images. This is for researchers or students learning and applying advanced deep learning techniques in natural language processing and artificial intelligence.
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Use this if you are a student or researcher looking for practical implementations and structured homework assignments for a university-level deep learning course.
Not ideal if you are a practitioner seeking a ready-to-use tool or a deployed solution for a specific business problem, as this is primarily educational material.
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Jun 09, 2019
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