---
license: apache-2.0
datasets:
- mnist
metrics:
- accuracy
pipeline_tag: image-classification
---

# CNN Model for MNIST Digit Classification

This repository contains a Convolutional Neural Network (CNN) model trained on the MNIST dataset for digit classification. The model has achieved an accuracy of 99% on the test dataset and is available for use as a TensorFlow model.

## Model Details
- **Architecture**: Convolutional Neural Network (CNN)
- **Input Size**: 28x28 pixels with 1 channel (grayscale)
- **Data Preprocessing**: The model has been trained on normalized data.
- **Accuracy**: 99%

## Usage
You can use this model for digit classification tasks. Below are some code snippets to help you get started:

```python
# Load the model and perform inference
import tensorflow as tf
model = tf.keras.models.load_model('model.h5')

# Perform inference
predictions = model.predict(image)

# Get the predicted digit
predicted_digit = np.argmax(predictions)