It is a simple machine learning-based project, developed by using one of the most popular machine learning algorithms
"Multi Layer Perceptron".
The 'Multi Layer Perceptron Model' in the project is trained by using very powerfull MNIST dataset having millions of hand written digit images.
The project is developed in jupyter notebook under Anaconda environment using very famous and powerfull machine learning library PyTorch.
The model has accuracy of approx 96%, which is good for few lines of code.
- numpy
- torch
- torch.nn
- torchvision
- tqdm.notebook