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es Descubra los mejores cursos en línea en Alison ®. Nuestros cursos gratuitos en línea fueron diseñados por expertos y universidades para darle una experiencia de aprendizaje interactiva y enriquecida. Los cursos en línea de Alison ® son la forma más asequible y flexible de aprender y adquirir nuevas habilidades al tiempo que obtienen certificados y títulos valiosos, de forma gratuita.
Alison’s free online computer vision courses will introduce you to the artificial intelligence used to interpret the world around us. When studying this field for the first time Alison’s An Introduction to Computer Vision offers in-depth training in the basics of computer vision. The popular course Diploma in Convolutional Neural Networks in Computer Vision will give you insight into powerful software that many sites that you browse use for their most popular features. This includes such software as Google Translate and auto-tagging on Facebook.
Improve your working knowledge and understanding of computer vision with Alison’s free online certificate courses. A short certificate course like the popular An Introduction to Computer Vision will equip you with the basics of this new artificial intelligence field. This course defines computer vision before exploring the possibilities of this field and how it has developed over the past decades.
At Alison, you can find free online diploma courses that discuss trends, neural networks and advanced computer vision techniques. The Diploma in Convolutional Neural Networks in Computer Vision teaches learners how to use the features of CNNs in various ways, such as how Facebook, Siri and Google use them. For a course in models and the modern-day trends of computer vision, including generative models and deep learning, we suggest the Diploma in Models and Trends in Computer Vision. If you are looking for a continuation of the introductory certificate course, we’d recommend that you take a look at Alison’s Advanced Diploma in Computer Vision. This top online course will benefit tech-savvy learners as well as those learning about computer vision for the first time.
