sumyatthitsarr / Handwritten_Recognition_MNIST

Handwritten_Recognition_MNIST

This model uses convolutional neural network in PyTorch and train it to recognize handwritten digits using the MNIST dataset.

Dataset

MNIST contains 70,000 images of handwritten digits: 60,000 for training and 10,000 for testing. The images are grayscale, 28x28 pixels.

Method

convolutional neural network

Model Evaluation

Test Accuracy of the model on the 10000 test images: 0.99%