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ece544hw

This repository contains homeworks for ECE 544 NA (https://courses.engr.illinois.edu/ece544na/) including following projects:

  • Homework 1:

    • code-from-scratch: implmented linear classifiers -- SVM, logistic regression, linear regression, and perceptron using python.
    • tensorflow: implemented implmented linear classifiers -- SVM, logistic regression, linear regression, and perceptron using tensorflow.
  • Homework 2:

    • code-from-scratch: implemented a feedforward neural network for multi-class classification.
    • tensorflow: implemented a time delay neural network using existing CNN module.
  • Homework 3:

    • code-from-scratch: implemented an EM algorithm for Gaussian mixture model inference.
    • tensorflow: implemented an interface to use an existing GMM module.
  • Homework 4:

    • code-from-scratch: implemented a binary-binary restricted Boltzmann machine.
    • tensorflow: implemented a binary-binary restricted Boltzmann machine.

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