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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.