Assignments and final project for the graduate course ECE 16:332:579 Introduction to Deep Learning. The file tree is listed below:
- HW1 - Implementation of the K-nearest neighbors algorithm to classify a data point in a state space.
- HW2 - Implementation of the back propagation algorithm without using auto grad
- HW3 - Implementation of a neural network
- a - Using only numpy
- b - Using PyTorch and auto gradient
- HW4 - Training the CIFAR10 dataset on LeNet5 CNN architecture
- HW5 - Training and pruning a LeNet5 CNN model