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Machine Learning for Computer Vision · LearnSpace
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Machine Learning for Computer Vision

Курс от MathWorks
Начальный≈ 11.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the most common computer vision tasks: classifying images and detecting objects. You will apply the entire machine learning workflow, from preparing your data to evaluating your results. By the end of this course, you’ll train machine learning models to classify images of street signs and detect material defects. You will use MATLAB throughout this course.  MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your computer vision tasks.  You will be provided free access to MATLAB for the course duration to complete your work. To be successful in this specialization, it will help to have some prior image processing experience.  If you are new to image data, it’s recommended to first complete the Image Processing for Engineering and Science specialization.

Навыки, которые вы освоите

Classification AlgorithmsModel EvaluationImage AnalysisComputer VisionMachine Learning AlgorithmsMachine Learning MethodsMachine LearningMatlabData PreprocessingModel Training

Программа курса

4 модулей · 44 учебных материалов

01Image Classification with Machine Learning16 материалов

Welcome to the Course

Computer Vision for Engineering and ScienceВидеоIntroduction to Machine Learning for Computer VisionВидеоMeet Your InstructorsЧтениеCourse files and MATLABЧтение

The Machine Learning Workflow

Учитесь у экспертов

Amanda Wang

Online Course Developer

Matt Rich

Senior Online Course Developer

Megan Thompson

Senior Online Course Developer

Brandon Armstrong

Manager Online Courses

Isaac Bruss

Преподаватель курса

Machine Learning for Computer Vision
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Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 11.1 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Пушту, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Дари, Хинди, Японский, Казахский, Польский

Часть программы вашего университета
The Machine Learning WorkflowВидео
Glossary of Common TermsЧтение
Concept Check: Introduction to Machine LearningЗадание

Introduction to Classification

Introduction to Classification ModelsВидеоConcept Check: Introduction to ClassificationЗадание

Preparing your Images for Classification

Preparing Your Images for ClassificationВидеоPreparing the Concrete Images for ClassificationЧтение

Image Classification in MATLAB

Training Image Classification ModelsВидеоOptimizing Model HyperparametersЧтениеThe Upcoming AssessmentsЧтениеGraded Quiz: Preparing Images for ClassificationЗаданиеGraded Quiz: Classifying ImagesЗадание
02Image Classification Using Bag of Features9 материалов

Introduction to Bag of Features

Introduction to Bag of FeaturesВидеоConcept Check: Introduction to Bag of FeaturesЗадание

Using Bag of Features for Classification

Classifying Images With Bag of FeaturesВидеоPractice Using Bag of FeaturesЧтениеPractice Quiz: Practice Using Bag of FeaturesЗадание

Module Assessment: Classification Using Bag of Features

Project: Introduction to Ground Cover ClassificationЧтениеProject: Ground Cover Classification with Different Classification ModelsВнешний инструментProject: Ground Cover Classification with Different Classification ModelsОбсуждениеGraded Quiz: Bag of FeaturesЗадание
03Evaluating Classification Models7 материалов

Evaluating Classification Models

Evaluating Classification ModelsВидеоEvaluating Classification Models in MATLABВидеоConcept Check: Evaluating Classification ModelsЗадание

Common Issues in Image Classification

Common Issues in Image ClassificationВидеоCommon Issues in Image Classification: A ReferenceЧтение

Project: Classifying Traffic Signs

Project Introduction: Classifying Traffic SignsЧтениеProject: Classifying Traffic Sign ImagesЗадание
04Object Detection with Machine Learning12 материалов

Object Detection with Machine Learning

Object Detection with Machine LearningВидеоObject Detection in MATLABЧтение

Labeling Images for Object Detection

Labeling your Images for Machine LearningВидео

Wood Knots Detection Project

Introduction to the Object Detection ProjectВидеоBeginning the Wood Knots Detection ProjectЧтениеProject: Wood Knots Detection Step 1ЗаданиеProject: Wood Knots Detection Step 2ЗаданиеProject: Wood Knots Detection Step 3ЗаданиеExtra Credit: Removing Redundant DetectionsЧтение

Summary and Next Steps

Summary of Machine Learning for Computer VisionВидеоWhat's Next?ЧтениеCourse SurveyPLUGIN