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:
# 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)