ECE 695AH Lecture 1.2: Linear Regression

AI HardwareArtificial Intelligence
Written By justin seymour

This introductory lecture focuses on the following aspects regarding AI and AI hardware:

  • Linear Regression

  • Supervised Learning

  • Model Representation

  • Gradient Descent to Minimize Cost Function

  • Role of Learning Rate in Gradient Descent

  • Cost Function and “Batch” Gradient Descent

  • Multiple features for Linear Regression

  • Features and Polynomial Regression

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justin seymour
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ECE 695AH Lecture 1.3: Logistic Regression
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ECE 695AH Lecture 1.1: Introduction to AI Hardware