AIDAC

This is the YouTube channel of AI-Driven Design Automation and Computer-aided Engineering Lab (AIDAC), University of Glasgow, Scotland, led by Prof. Bo Liu. This channel provides: (1) AI education materials for science and engineering students, and (2) Tutorials for AI-driven electronic design automation tools from AIDAC.

Welcome to the specialization
Welcome to the specialization
Tutorial: Regression Learner
Tutorial: Regression Learner
Tutorial: Export Model
Tutorial: Export Model
Tutorial: Classification Learner
Tutorial: Classification Learner
Tutorial: MATLAB Classification and Regression Learner Apps
Tutorial: MATLAB Classification and Regression Learner Apps
ANN Implementation in MATLAB and Case Studies: A Case Study on Diabetes Diagnosis
ANN Implementation in MATLAB and Case Studies: A Case Study on Diabetes Diagnosis
ANN Implementation in MATLAB and Case Studies: Build an ANN Using MATLAB
ANN Implementation in MATLAB and Case Studies: Build an ANN Using MATLAB
Underfitting and Overfitting: Methods to Improve Overfitting
Underfitting and Overfitting: Methods to Improve Overfitting
Underfitting and Overfitting: Concepts
Underfitting and Overfitting: Concepts
Neural Network Training: More on Neural Network Training
Neural Network Training: More on Neural Network Training
Neural Network Training: Backward Propagation
Neural Network Training: Backward Propagation
Neural Network Training: Forward Propagation
Neural Network Training: Forward Propagation
Artificial Neural Network Introduction: ANN Structure
Artificial Neural Network Introduction: ANN Structure
Artificial Neural Network Introduction: Introduction
Artificial Neural Network Introduction: Introduction
Module 11: Introduction to Week 11's Study
Module 11: Introduction to Week 11's Study
Case Study 2: Raisin Classification (Non-Linear SVM)
Case Study 2: Raisin Classification (Non-Linear SVM)
Case Study 1: Banknote Classification (Linear SVM)
Case Study 1: Banknote Classification (Linear SVM)
Support Vector Machine Implementation: 2D Point Classification Example
Support Vector Machine Implementation: 2D Point Classification Example
Support Vector Machine Implementation: Iris Flower Example
Support Vector Machine Implementation: Iris Flower Example
Support Vector Machine Implementation: MATLAB Implementation of SVM
Support Vector Machine Implementation: MATLAB Implementation of SVM
Support Vector Machines: Multi-Class SVM
Support Vector Machines: Multi-Class SVM
Support Vector Machines: Non-Linear SVM
Support Vector Machines: Non-Linear SVM
Support Vector Machines: Linear SVM of Soft Margin Classifier
Support Vector Machines: Linear SVM of Soft Margin Classifier
Support Vector Machines: Linear SVM of Hard Margin Classifier
Support Vector Machines: Linear SVM of Hard Margin Classifier
Support Vector Machine Fundamentals: Types of SVM
Support Vector Machine Fundamentals: Types of SVM
Support Vector Machine Fundamentals: Concepts
Support Vector Machine Fundamentals: Concepts
Module 10: Introduction to Week 10's Study
Module 10: Introduction to Week 10's Study
Data Preparation Overview
Data Preparation Overview
Construct Training and Test Sets for Model Evaluation: Cross-Validation
Construct Training and Test Sets for Model Evaluation: Cross-Validation
Construct Training and Test Sets for Model Evaluation
Construct Training and Test Sets for Model Evaluation