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mnist-cnn
Anni0401/mnist-cnn
mnist-cnn is a image classification model from Anni0401. Use it when you need a label for an image. The card lists the license as mit.
This model is a Convolutional Neural Network trained on the MNIST dataset to classify handwritten digits (0–9).
Access
Public
Updated Dec 24, 2025
Repo size
3.4 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pth1.7 MB · 100%
At a glance
- Task
- Image Classification
- License
- mit
- Access
- Public
- Created
- Dec 21, 2025
- Updated
- Dec 24, 2025
- SHA
- 819784b1
Model card
From the Hugging Face model README
MNIST CNN Classifier
This model is a Convolutional Neural Network trained on the MNIST dataset to classify handwritten digits (0–9).
Model Architecture
- 2 Convolutional layers
- ReLU activations
- Max pooling
- Fully connected classifier
- Dropout for regularization
Usage
from inference import load_model, predict
import numpy as np
model = load_model("mnist_cnn.pth")
image = np.zeros((28, 28))
prediction = predict(image, model)
print(prediction)
- Task
- Image Classification
- License
- mit
- Created
- Dec 21, 2025
- Updated
- Dec 24, 2025