Introductory course to Computer Vision to provide the theoretical and practical foundations of this discipline, with particular focus on the use of neural networks and convolutional architectures (CNN).
Introductory course to Computer Vision to provide the theoretical and practical foundations of this discipline, with particular focus on the use of neural networks and convolutional architectures (CNN).
The course is aimed at developers, software engineers, and technicians
The goal of the course is to provide an introductory yet solid understanding of Computer Vision, enabling students to grasp the principles governing neural networks and CNNs.
Students will be able to describe the main tasks of Computer Vision (classification, object detection, segmentation, etc.), understand the functioning of neural networks, the training process, and the backpropagation algorithm. Finally, they will acquire the skills to use modern tools for object recognition and apply these tools in solving practical problems, integrating theory and practice.
Experience in Python programming.
Resources available from PNRR funds, Mission 4 – Component 2 – Investment 2.3:
Contribution for companies up to 80%
At the end of each course, you will receive a certificate of participation issued by the CIM4.0 Competence Center.
As an implementing body for digital transition, CIM4.0 holds the accreditation certificate from the Piedmont Region for the provision of continuous training. Certificate No.: 1503/001
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