mahamad-jameer-makandar / hand_written_digit_recognition_using_ml-deep_learning_approach- Goto Github PK
View Code? Open in Web Editor NEWI developed a deep learning model using convolutional neural network architecture for recognizing handwritten digits with the MNIST dataset, training it for 10 epochs. With the help of hyperparameter tuning and data augmentation techniques, the model achieved 70% accuracy on the test dataset.