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This repository contains Jupyter Notebooks showcasing different techniques for price prediction using Artificial Neural Networks (ANNs). Topics covered include early stopping, batch normalization, dropout regularization, and deep neural networks. These notebooks offer practical implementations and insights for improving model training

Home Page: https://www.linkedin.com/in/mounesh-gouda-858069246/

Jupyter Notebook 99.83% Python 0.17%
artificial-neural-networks deep deep-learning flask motion

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