Mouneshgouda / 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

Mouneshgouda
Mouneshgouda
Date Created 2024-02-26 (8 months ago)
Commits 15 (last one 8 months ago)
Stargazers 36 (0 this week)
Watchers 2 (0 this week)
Forks 11
License unknown
Ranking

RepositoryStats indexes 584,353 repositories, of these Mouneshgouda/Deep-learning is ranked #532,160 (9th percentile) for total stargazers, and #478,709 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,849/17,098.

Mouneshgouda/Deep-learning is also tagged with popular topics, for these it's ranked: deep-learning (#7,893/8389),  flask (#956/1026)

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

15 commits on the default branch (main) since jan '22

Yearly Commits

Commits to the default branch (main) per year

Issue History

No issues have been posted

Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-06-09 @ 11:47pm, id: 763303319 / R_kgDOLX8Vlw