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Stock Forecasting tool using Long Short Term Memory Network model in PyTorch

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Name		Name	Last commit message	Last commit date
.gitignore		.gitignore
AMZN.csv		AMZN.csv
README.md		README.md
Stock_Forecast.ipynb		Stock_Forecast.ipynb

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Stock Forecasting with PyTorch

Batch size = 16
Learning rate = 0.001 multiplier
Number of epochs = 10
Validational loss achieved: 0.006

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About

Stock Forecasting tool using Long Short Term Memory Network model in PyTorch

6 stars

1 watching

Report repository

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