---
language: en
license: mit
tags:
- keras
- mnist
- image-classification
- cnn
datasets: mnist
model-type: image-classification
---
# MNIST Classification Model

An improved CNN model for handwritten digit recognition, trained on the MNIST dataset.

## Model Architecture
- Uses Convolutional layers (CNN)
- Data Augmentation for improved performance
- Batch Normalization
- Dropout for preventing Overfitting
- Dense layers with ReLU activation

## Parameters
- Optimizer: Adam (lr=0.001)
- Loss: Sparse Categorical Crossentropy
- Metrics: Accuracy
- Epochs: 20 (with Early Stopping)
- Batch Size: 32

## Performance
Test Accuracy: 0.9884