MathWorks
MathWorks Computer Vision Engineer 专业证书

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MathWorks

MathWorks Computer Vision Engineer 专业证书

Advance your career with computer vision skills. Learn and apply the computer vision skills needed to effectively address real-world challenges experienced across many industries.

Sam Jones
Amanda Wang
Isaac Bruss

位教师:Sam Jones

6,482 人已注册

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获得职业证书,展示您的专业知识
4.8

(76 条评论)

初级 等级
无需具备相关经验
2 月 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
获得职业证书,展示您的专业知识
4.8

(76 条评论)

初级 等级
无需具备相关经验
2 月 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Automatically extract information from images

  • Detect and track objects in images and videos

  • Apply the full deep-learning workflow to computer vision challenges

  • Export models to common formats like Tensorflow or PyTorch

要了解的详细信息

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授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

专业认证 - 9门课程系列

Introduction to Image Processing

Introduction to Image Processing

第 1 门课程9小时

您将学到什么

  • Perform analysis on a variety of common image datatypes & recognize their strengths and limitations

  • Detect objects and regions of interest using intensity-based & color-based image segmentation

  • Improve image contrast using a variety of modern algorithms for different use-cases, such as low light or fog

  • Complete a project where you analyze Antarctic ice melt in satellite images

您将获得的技能

类别:Image Quality
类别:Image Analysis
类别:Histogram
类别:Matlab
类别:Metadata Management
类别:Algorithms
类别:Data Import/Export
类别:Spatial Data Analysis
类别:Quantitative Research
类别:Data Processing
类别:Exploratory Data Analysis
类别:Analysis
类别:Computer Vision
类别:Water Sustainability
类别:Data Manipulation

您将学到什么

  • Use segmentation to detect and analyze regions of interest in images & video

  • Apply spatial filters and morphological operators to improve segmentation & remove noise

  • Segment & analyze 3D images, such as MRI images of a brain

  • Use interactive tools to quickly test a variety of segmentation approaches & automatically generate code for reuse

您将获得的技能

类别:Image Analysis
类别:Matlab
类别:Medical Imaging
类别:Spatial Analysis
类别:Algorithms
类别:Computer Vision
Automating Image Processing

Automating Image Processing

第 3 门课程13小时

您将学到什么

  • Apply image processing algorithms to large sets of images & verify your algorithms generalize to new images

  • Apply image processing algorithms to video files

  • Analyze your image & video processing results, including calculating statistics like average area & identifying outliers

  • Complete a specialization-level project where you will detect cars in a noisy video

您将获得的技能

类别:Image Analysis
类别:Automation
类别:Engineering Practices
类别:Anomaly Detection
类别:Computer Vision
类别:Matlab
类别:Data Analysis Software
Introduction to Computer Vision

Introduction to Computer Vision

第 4 门课程8小时

您将学到什么

  • Use common algorithms for feature detection, extraction, & matching

  • Perform image registration by identifying control points & estimating geometric transformations

  • Complete a final project where you stitch together images from NASA’s Mars Curiosity Rover

  • Combine images with image stitching to create panorama images

您将获得的技能

类别:Computer Vision
类别:Matlab
类别:Algorithms
类别:Data Integration
类别:Geospatial Information and Technology
类别:Estimation
类别:Image Analysis
类别:Machine Learning Methods
类别:Medical Imaging
Machine Learning for Computer Vision

Machine Learning for Computer Vision

第 5 门课程11小时

您将学到什么

  • Prepare data and create features for classifying images

  • Train & evaluate models to classify images using

  • Train & evaluate object detection machine learning models

  • Customize model training for different applications using cost matrices

您将获得的技能

类别:Machine Learning
类别:Computer Vision
类别:Image Analysis
类别:Supervised Learning
类别:Visualization (Computer Graphics)
类别:Matlab
类别:Predictive Modeling
类别:Applied Machine Learning
类别:Performance Tuning
类别:Data Validation

您将学到什么

  • Use pre-trained deep neural networks like YOLO to perform object detection

  • Use optical flow to detect motion & moving objects

  • Perform multi-object tracking to count, track, & determine the direction of objects

您将获得的技能

类别:Computer Vision
类别:Matlab
类别:Medical Imaging
类别:Motion Graphics
类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:Deep Learning
类别:Visualization (Computer Graphics)
类别:Image Analysis

您将学到什么

  • Develop a strong foundation in deep learning for image analysis

  • Retrain common models like GoogLeNet and ResNet for specific applications

  • Investigate model behavior to identify errors, determine potential fixes, and improve model performance

  • Complete a real-world project to practice the entire deep learning workflow

您将获得的技能

类别:Deep Learning
类别:Performance Tuning
类别:Artificial Neural Networks
类别:Image Analysis
类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:Classification And Regression Tree (CART)
类别:Matlab
类别:Computer Vision
类别:Machine Learning Methods
Deep Learning for Object Detection

Deep Learning for Object Detection

第 8 门课程8小时

您将学到什么

  • Retrain popular YOLO deep learning models for your applications

  • Visualize results to gain insights into model performance

  • Evaluate detection models by examining both class and location accuracy.

  • Analyze labeled images to identify and fix potential data shortcomings

您将获得的技能

类别:Deep Learning
类别:Computer Vision
类别:Matlab
类别:Image Analysis
类别:Data Analysis
类别:Data Visualization
类别:Machine Learning Methods
类别:Data Validation

您将学到什么

  • Train and calibrate specialized models known as anomaly detectors

  • Generate synthetic training images for situations where acquiring more data is expensive or impossible

  • Use AI-assisted auto-labeling to save time and money

  • Import models from 3rd party tools like PyTorch and export your model outside of MATLAB

您将获得的技能

类别:Deep Learning
类别:Computer Vision
类别:Anomaly Detection
类别:Matlab
类别:Medical Imaging
类别:PyTorch (Machine Learning Library)
类别:Image Analysis
类别:Unsupervised Learning
类别:Application Deployment
类别:Data Synthesis

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位教师

Sam Jones
MathWorks
3 门课程43,700 名学生
Amanda Wang
MathWorks
9 门课程40,721 名学生
Isaac Bruss
MathWorks
9 门课程62,104 名学生

提供方

MathWorks

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