pha123661/NTU-2022Fall-ADL
Applied Deep Learning 深度學習之應用 by Vivian Chen 陳縕儂 at NTU CSIE
This project offers solutions for common natural language processing tasks, like understanding the intent behind user queries, identifying key information in sentences, and answering questions from longer texts. It also includes an approach for summarizing Chinese news articles into titles and classifying tree species using multimodal data. This is for researchers, students, or practitioners working with text and image data who need to automate understanding, classification, and summarization tasks.
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Use this if you need to build or benchmark deep learning models for tasks like intent classification, slot tagging, Chinese question answering, Chinese news summarization, or multimodal image classification.
Not ideal if you are looking for a plug-and-play solution for a specific business application without any technical expertise in deep learning.
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Python
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Last pushed
Feb 01, 2023
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