- Implemented a Multilayer Perceptron Neural Network on the MNIST dataset and evaluated its performance in classifying handwritten digits using Python
- Upon testing the network to classify the hand written digits into the training set, validation set and the test set, the network gave a high accuracy of 95% approx. within 60sec.
- The regularization of the network is implemented using the regularization coefficient which avoids the over fitting problem.