ataturhan21/MNIST-Digit-Classification-PyTorch
A complete solution for the MNIST handwritten digit classification challenge using PyTorch, including data exploration, model training, and Kaggle submission generation.
This project helps developers and data scientists learn the fundamentals of deep learning by classifying handwritten digits. It takes grayscale images of digits as input and outputs a prediction of the digit (0-9). The main users are individuals new to deep learning or PyTorch, looking for a hands-on introduction.
No commits in the last 6 months.
Use this if you are a developer or data scientist looking for a complete, runnable example to learn about deep learning, PyTorch, and image classification, especially for Kaggle competitions.
Not ideal if you need a production-ready solution for complex image recognition tasks or a library for integrating into existing applications.
Stars
25
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ataturhan21/MNIST-Digit-Classification-PyTorch"
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.