Computer Vision

Sort options

Camera and Imaging (Coursera)

This course covers the fundamentals of imaging – the creation of an image that is ready for consumption or processing by a human or a machine. Imaging has a long history, spanning several centuries. But the advances made in the last three decades have revolutionized the camera and dramatically [...]
0
No votes yet

Mathematics for computer vision (Coursera)

The course is devoted to the systematization of the mathematical background of the students necessary for the successful mastering of educational disciplines in the field of computer vision. The course includes sections of mathematical analysis, probability theory, linear algebra.
0
No votes yet

2D image processing (Coursera)

The course is devoted to the usage of computer vision libraries like OpenCV in 2d image processing. The course includes sections of image filtering and thresholding, edge/corner/interest point detection, local and global descriptors, video tracking.
0
No votes yet

Advanced Computer Vision with TensorFlow (Coursera)

Oct 18th 2021
Advanced Computer Vision with TensorFlow (Coursera)
Course Auditing
Categories
Effort
Languages
In this course, you will: a) Explore image classification, image segmentation, object localization, and object detection. Apply transfer learning to object localization and detection; b) Apply object detection models such as regional-CNN and ResNet-50, customize existing models, and build your own models to detect, localize, and label your own [...]
0
No votes yet

AWS Computer Vision: Getting Started with GluonCV (Coursera)

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. The course discusses artificial neural networks and other deep learning concepts, then walks through how to [...]
0
No votes yet

Getting Started with AWS Machine Learning (Coursera)

Machine learning (ML) is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market. The World Economic Forum states the growth of artificial intelligence (AI) could create 58 million net new jobs in the next few years, yet it’s estimated that [...]
0
No votes yet

Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications (Coursera)

Welcome to the Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications course! This course provides easy access to the fundamental concepts of the Intel Distribution of OpenVINO toolkit. Throughout this course, you will be introduced to demos, showcasing the capabilities of this toolkit. [...]
0
No votes yet

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source [...]
0
No votes yet

Deep Learning in Computer Vision (Coursera)

Deep learning added a huge boost to the already rapidly developing field of computer vision. With deep learning, a lot of new applications of computer vision techniques have been introduced and are now becoming parts of our everyday lives. These include face recognition and indexing, photo stylization or machine [...]
8
Average: 8 ( 3 votes )

Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen? (Coursera)

Oct 18th 2021
Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen? (Coursera)
Free Course
Categories
Effort
Languages
¿Te interesa la visión por computador? ¿Te gustaría saber cómo se puede reconocer el contenido visual de las imágenes y clasificarlas a partir de su contenido? En este curso aprenderás diferentes métodos de representación y clasificación de imágenes. El temario del curso te permitirá conocer el esquema básico de [...]
8
Average: 8 ( 3 votes )