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b/code/dnc_code/Readme.txt |
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The code is written in Python 3.6 in Ubuntu 18.04 Operating System. |
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Libraries required: |
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NumPy |
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PyTorch |
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Train the model by writing following in the terminal: |
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"python3 train.py opt1 opt2" |
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opt1: 1). '1' for bAbI Task training |
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2). '2' for Medical NER task training |
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opt1: 1). 'GPU' to run code on GPU |
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2). 'CPU' to run code normally |
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******************************************************************************** |
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Test the model by writing following in the terminal: |
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"python3 test.py opt1 opt2 opt3 opt4" |
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opt1: 1). '1' for bAbI Task training |
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2). '2' for Medical NER task training |
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opt2: 1). 'GPU' to run code on GPU |
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2). 'CPU' to run code normally |
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opt3: Last Epoch number till the model was trained |
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Opt4: Last Batch Number till the model was trained |
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Reference: |
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1). https://github.com/loudinthecloud/pytorch-ntm |
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2). Paper: Robust and Scalable Differentiable Neural Computer for Question Answering |