MNIST Handwritten Recognition
An artificial neural network algorithm that recognizes handwritten numbers was created and an accuracy of 98% was achieved. Precision, recall, f1 score was also used to validate the performance.
Libraries
- Pandas
- Numpy
- Matplotlib
- TensorFlow, Keras, Scikit-Learn