Aeroplane Classification using Linear Classifier with two variants
- Perceptron learning rule; mode = online learning, loss fn = MSE
- Gradient descent; mode = batch learning, loss fn = Cross Entropy
Distorted Character Recognition using Hopfield Neural Network
- mnist_loader.py - splits MNIST data
- src/FNN/hdr_fnn.py - Feedforward Neural Network that recognize handwritten digits using mini-batch stochastic gradient descent with an accuracy of 97.72 %.
- Extend it to EMNIST data
- Try different models