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Deep-Learning-Course-Work

Task(s) – content You are required to use any two deep learning architectures (under supervised, unsupervised, generative/semi-supervised or reinforcement learning) to solve any real-world problem. The respective deep neural based models can be accessed via https://huggingface.co/models or you may implement from scratch if you wish. You must use the Yelp Reviews dataset https://www.yelp.com/dataset as per the corpus requirement. The implemented deep neural models should be compared based on the evaluation results. You may form a group of minimum three to maximum four members. (As an example, the groups which had been formed for the Data Science Group Project can be used for this purpose as per your wish)

Task(s) – format Considering the nature and the purpose of the dataset, the selection of the models can be varied. The optimal model selection, implementation and evaluation will be considered. The code must be governed through Git. A report should be prepared including the proposing solution methodology, experimental results, evaluation criteria, any limitations, and possible future enhancements. The project Git URL should be publicly accessible and should be mentioned in the report.

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