Coursework for ECE C147 (Neural Networks and Deep Learning)

This repository contains coursework for the class ECE C147 (Neural Networks and Deep Learning). There are 5 homework folders, each containing codes for the assignments.

Homework Structure

• Homework 1: Linear Regression

  • Code
  • Written Homework

• Homework 2: K-nearest Neighbors, SVM, and Softmax Classifier

  • Code
  • Written Homework

• Homework 3: Backpropagation and Neural Networks

  • Code
  • Written Homework

• Homework 4: Batch Normalization and Dropout

  • Code

• Homework 5: Convolutional Neural Networks

  • Code

Course Description

ECE C147 focuses on neural networks and deep learning techniques. The course covers various topics, including but not limited to:

• Linear Regression
• K-nearest Neighbors
• Support Vector Machines (SVM)
• Softmax Classifier
• Backpropagation
• Batch Normalization
• Dropout
• Convolutional Neural Networks (CNNs)

All assignments require implementing the networks from scratch.