Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. In this beginner-friendly course, you will understand computer vision and learn about its various applications across many industries.
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Habilidades en redes de IBMAcerca de este Curso
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Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
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Nivel principiante
Aprox. 22 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
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Prueba Coursera para negociosHabilidades que obtendrás
- Deep Learning
- Opencv
- Artificial Intelligence (AI)
- Image Processing
- Computer Vision
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
Aprox. 22 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negocios
ofrecido por
Habilidades en redes de IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
Programa - Qué aprenderás en este curso
1 hora para completar
Introduction to Computer Vision
In this module, we will discuss the rapidly developing field of image processing. In addition to being the first step in Computer Vision, it has broad applications ranging anywhere from making your smartphone's image look crystal clear to helping doctors cure diseases.
1 hora para completar
4 videos (Total 16 minutos), 2 lecturas, 2 cuestionarios
6 horas para completar
Image Processing with OpenCV and Pillow
Image processing enhances images or extracts useful information from the image. In this module, we will learn the basics of image processing with Python libraries OpenCV and Pillow.
6 horas para completar
6 videos (Total 41 minutos)
5 horas para completar
Machine Learning Image Classification
In this module, you will Learn About the different Machine learning classification Methods commonly used for Computer vision, including k nearest neighbours, Logistic regression, SoftMax Regression and Support Vector Machines. Finally, you will learn about Image features.
5 horas para completar
8 videos (Total 37 minutos)
4 horas para completar
Neural Networks and Deep Learning for Image Classification
In this module, you will learn about Neural Networks, fully connected Neural Networks, and Convolutional Neural Network (CNN). You will learn about different components such as Layers and different types of activation functions such as ReLU. You also get to know the different CNN Architecture such as ResNet and LenNet.
4 horas para completar
4 videos (Total 20 minutos)
Reseñas
- 5 stars64,76 %
- 4 stars20,47 %
- 3 stars6,78 %
- 2 stars3,57 %
- 1 star4,40 %
Principales reseñas sobre INTRODUCTION TO COMPUTER VISION AND IMAGE PROCESSING
por MS5 de may. de 2020
Very interesting course with very good hands on practice using the labs. Helps to learn very useful, practical skills.
por TC20 de jun. de 2020
It was a great course that I had fun completing.
I thank the instructors and especially the course mentors for their constant and timely support.
Godspeed,
Tanisha Cijo.
por JN13 de oct. de 2020
There are a few issues with the labs. Please review them. Additionally it would be helpful to provide instructions in every lab for federated users.
por AG17 de dic. de 2019
much better use of notebooks, and good to be able to compare openCV's (free) capabilities and use Watson computer vision directly via API. Liked the classroom videos too.
Preguntas Frecuentes
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What will I be able to do after completing this course?
Are there any software or hardware pre-requistes for this course?
Are there any pre-requisties or prior experience necssary for this course?
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