TesseractCoding / NeoAlgo

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Implement Neural Network from Scratch [Machine Learning - Python] #595

Open

HarshCasper opened this issue Aug 19, 2020 · 5 comments

Labels

CH20 Python enhancement good first issue hard

Member

HarshCasper commented Aug 19, 2020 •

edited

🚀 Feature

Implement a Toy Neural Network for the MNIST Dataset using only Numpy.
Train it for some number of epochs and some hyperparameters.
Plot a live/interactive decision boundary.
Plot the train and validation metrics such as the loss and the accuracies

Have you read the Contributing Guidelines on Pull Requests?

Yes

HarshCasper added CH20 enhancement hard Python good first issue labels

github-actions bot removed Python enhancement labels

HarshCasper added enhancement Python labels

Contributor

Huzaib commented Aug 19, 2020

Can I take up this issue?

rohangawhade commented Aug 21, 2020

I would like to work on this issue.

Member Author

HarshCasper commented Aug 21, 2020

Assigned to you @Huzaib

Contributor

Huzaib commented Aug 21, 2020

How much time do I have to complete it?

sahanabalappa commented Aug 22, 2020

I would like to work on this

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

You can’t perform that action at this time.