Train a convolutional neural network to recognize the MNIST handwritten digits.
- Succesful training and testing of classifier indicating training and test accuracies.
- Live demo presenting capture and detection of handwritten digits.
- Extra Credit: Live Demo presenting localization and identification of a handwritten digit that has been embedded in another image.
Loss: 0.0620, Acccuracy: 98%
Loss: 0.03162, Accuracy: 98.91%