For this project we seek to classify the topic of scientific journal abstracts using Recurrent Neural Networks (RNN). The possible topics for each abstract are Information Theory, Computer Vision, and Mathematics. These three classes can only take Boolean values, ‘1’ if it is classified as the topic and ‘0’ if not. Thus, we will create separate models for each of the three classes. The models were implemented in PyTorch.
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For this project we seek to classify the topic of scientific journal abstracts using Recurrent Neural Networks (RNN).
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