handwritten digits classification using logistic regression with one vs all approach 5000 data from MNIST dataset is taken The approach is training one logistic regression classifier for each of digits and then classify the digits. The accuracy on training set is approx 94%.
In second part the sam work was done but with a Neural Network The accuracy of NN is approx 96%.