Aronno1920/Digit-Classifier-MNIST
Build and evaluate a deep learning model that classifies handwritten digits (0–9) using the MNIST dataset. This project will reinforce core deep learning concepts such as data preprocessing, batch normalization, dropout regularization, and model evaluation through visual metrics.
No commits in the last 6 months.
Stars
6
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Jul 28, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Aronno1920/Digit-Classifier-MNIST"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
greydanus/mnist1d
A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep...
potterhsu/SVHNClassifier
A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using...
potterhsu/SVHNClassifier-PyTorch
A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep...
kensanata/numbers
Handwritten digits, a bit like the MNIST dataset.
kdexd/digit-classifier
A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.