Search result for Introduction to object detection Online Courses & Certifications
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AWS Computer Vision: Getting Started with GluonCV
by Thom LaneTop Instructor , Thomas DelteilTop Instructor , Soji AdeshinaTop Instructor- 4.6
Approx. 31 hours to complete
This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. We will look at using pre-trained models for classification, detection and segmentation. Module 1: Introduction to Computer Vision Object Detection...
Master Computer Vision™ OpenCV4 in Python with Deep Learning
by Rajeev D. Ratan- 4.2
10.5 hours on-demand video
Feature detection (SIFT, SURF, FAST, BRIEF & ORB) to do object detection. Object Detection for faces, people & cars. Multi-Object Detection (90 Object Types) Multi-Object Detection in OpenCV (up to 90 Objects!) using SSD (Single Shot Detector) Learn how to do Multi Object Detection in OpenCV (up to 90 Objects!) using SSDs (Single Shot Detector)...
$14.99
Computer Vision Fundamentals with OpenCV and C#
by F. Frank Ozz- 4
5 hours on-demand video
This course will teach you how to enter the wonderful world of computer vision using C# programming language and one of the most widely used open source Computer Vision Library, namely the OpenCV. How to read images from disk and display them and save images to disk Sobel, Scharr Edge Detection methods Canny Edge Detection Shape Contour detection...
$11.99
Introduction to Computer Vision
by Aaron Bobick , Irfan Essa , Arpan Chakraborty- 0.0
Approx. 4 months
This course gives you both insight into the fundamentals of image formation and analysis, as well as the ability to extract information much above the pixel level. This course provides an introduction to computer vision including fundamentals, methods for application and machine learning classification....
Free
Introduction to Embedded Machine Learning
by Shawn Hymel , Alexander Fred-Ojala- 4.8
Approx. 17 hours to complete
Machine learning (ML) allows us to teach computers to make predictions and decisions based on data and learn from experiences. In recent years, incredible optimizations have been made to machine learning algorithms, software frameworks, and embedded hardware. Introduction to Machine Learning Introduction to Neural Networks Introduction to Neural Networks Introduction to Audio Classification Introduction to Convolutional Neural Networks...
Nanotechnology and Nanosensors, Part1
by Prof. Hossam Haick- 4.6
Approx. 12 hours to complete
The course is set to encourage the understanding of: Introduction to Nanotechnology, Part 1 Introduction to Nanotechnology, Part 1 Introduction to Nanotechnology, Part 2 Introduction to Nanotechnology, Part 2 Introduction to Sensors’ Science and Technology Introduction to Sensors Array (or Electronic Noise) Introduction to Sensors’ Science and Technology Introduction to Basic properties of Nanoparticles...
AI Workflow: Feature Engineering and Bias Detection
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
Approx. 12 hours to complete
You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. Use topic modeling and visualization to explore text data Introduction to Class Imbalance Introduction to Dimensionality Reduction Introduction to Outliers Introduction to Unsupervised learning Introduction to 360 (hands-on)...
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Architecting with Google Kubernetes Engine: Foundations
by Google Cloud Training- 4.7
Approx. 8 hours to complete
In this course, "Architecting with Google Kubernetes Engine: Foundations," you get a review of the layout and principles of Google Cloud, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes. Introduction to Google Cloud Introduction to Containers and Kubernetes Introduction to Containers...
Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs
by Rajeev D. Ratan- 4.4
14 hours on-demand video
TensorFlow Object Detection API Using Pre-trained ImageNet Models to classify a 1000 object classes Object Detection using a ResNet50 SSD Model built using TensorFlow Object Detection Object Detection with YOLO V3 Definitely a really good introduction to image processing. How to use TensorFlow's Object Detection API and Create A Custom Object Detector in YOLO...
$19.99
Whole genome sequencing of bacterial genomes - tools and applications
by Lina Cavaco , Pimlapas Leekitcharoenphon- 4.6
Approx. 7 hours to complete
WGS technology and applications are high on international political agenda, as the classical methods are being replaced by WGS technology and therefore bioinformatic tools are extremely important for allowing the people working in this sector to be able to analyze the data and obtain results that can be interpreted and used for different purposes. Introduction to Next-Generation sequencing (NGS)...