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 (10 months ago)
Commits 15 (last one 9 months ago)
Stargazers 37 (0 this week)
Watchers 2 (0 this week)
Forks 11
License unknown
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RepositoryStats indexes 598,732 repositories, of these Mouneshgouda/Deep-learning is ranked #538,002 (10th percentile) for total stargazers, and #487,120 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,028/17,660.

Mouneshgouda/Deep-learning is also tagged with popular topics, for these it's ranked: deep-learning (#7,966/8543),  flask (#967/1043),  artificial-neural-networks (#95/101)

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

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updated: 2024-11-22 @ 09:23pm, id: 763303319 / R_kgDOLX8Vlw