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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Acerca de este Curso
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosHabilidades que obtendrás
- Deep Learning
- Opencv
- Artificial Intelligence (AI)
- Image Processing
- Computer Vision
¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?
Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
Introduction to Computer Vision
Image Processing with OpenCV and Pillow
Machine Learning Image Classification
Neural Networks and Deep Learning for Image Classification
Reseñas
- 5 stars64,22 %
- 4 stars20 %
- 3 stars7 %
- 2 stars3,88 %
- 1 star4,88 %
Principales reseñas sobre INTRODUCTION TO COMPUTER VISION AND IMAGE PROCESSING
There was a few bugs, but some I was able to get around, others weren't important. The course was very interesting and a good foundation into computer vision
Some of these modules need to fix some errors that exist on the IBM Cloud. Had to constantly look for discussions that open topics on what needs to be worked on.
The course was great, but there were several technical issues as there have been with the entire IBM AI certification.
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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Certificado?
¿Cuál es la política de reembolsos?
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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