Deep-learning

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. Maintained by Mouneshgouda on GitHub, where it has earned 36 stars from the community.

It's actively developed around artificial-neural-networks, deep, deep-learning, and is a solid reference for anyone building with these tools.