This repository is created as part of Neural Networks and Deep Learning course at my college. This repo contains the implementations of Neural Network and Deep Learning algorithms.
| Lab | Algorithms/Model |
|---|---|
| Lab 1 | McCulloch-Pitts Model, Rosenblatt's Perceptron Model, Widrow's Adaline Model |
| Lab 2 | Hebbian Learning Law and Correlation Learning Law |
| Lab 3 | Perceptron Learning Law |
| Lab 4 | Auto Associative Networks |
| Lab 5 | Hetero Associative Networks |
| Lab 6 | Multi Layer Feedforward Networks |
| Lab 7 | Convolutional Neural Networks |
| Lab 8 | CNNs Using TensorFlow |
| Lab 9 | Autoencoders |
| Lab 10 | Regularization in Autoencoders |