{"id":2299,"date":"2025-08-04T19:50:10","date_gmt":"2025-08-04T17:50:10","guid":{"rendered":"https:\/\/expand-edih.com\/servizio\/computer-vision-from-theory-to-training-on-real-data\/"},"modified":"2025-09-29T09:43:30","modified_gmt":"2025-09-29T07:43:30","slug":"computer-vision-from-theory-to-training-on-real-data","status":"publish","type":"servizio","link":"https:\/\/expand-edih.com\/en\/servizio\/computer-vision-from-theory-to-training-on-real-data\/","title":{"rendered":"Computer Vision: from Theory to Training on Real Data"},"content":{"rendered":"<p>Introductory course on Computer Vision (CV) to provide the theoretical and practical foundations of this discipline, with a particular focus on the use of neural networks and convolutional architectures (CNN).<\/p>\n<h5><strong>CONTENT<\/strong><\/h5>\n<p><strong>Introduction to Computer Vision:<\/strong><br \/>\n\u2022 Neural Networks.<br \/>\n\u2022 Loss function and training.<br \/>\n<strong>Computer Vision:<\/strong><br \/>\n\u2022 CV tasks.<br \/>\n\u2022 Feature extraction.<br \/>\n<strong>Convolutional Neural Networks:<\/strong><br \/>\n\u2022 Architecture.<br \/>\n\u2022 Convolutional layers.<br \/>\n\u2022 Activation function and hyperparameters.<br \/>\n<strong>Exercises:<\/strong><br \/>\n\u2022 Object recognition with YOLO.<br \/>\n\u2022 Training with custom datasets.<\/p>\n<h5><strong>OBJECTIVES<\/strong><\/h5>\n<p>The aim of the course is to provide a solid introductory knowledge of Computer Vision, enabling students to understand the principles governing neural networks and CNNs.<\/p>\n<h5><strong>LEARNING OUTCOMES<\/strong><\/h5>\n<p>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 will be able to apply these tools in solving practical problems, integrating theory and practice.<\/p>\n<h5><strong>PREREQUISITES<\/strong><\/h5>\n<p>Experience in Python programming.<\/p>\n","protected":false},"featured_media":0,"parent":0,"template":"","categoria-servizi":[96,97],"livello":[92],"livello-corso":[98],"tematica":[102],"class_list":["post-2299","servizio","type-servizio","status-publish","hentry","categoria-servizi-training-and-skills-development-2","categoria-servizi-vertical-training-programmes","livello-specialized","livello-corso-practical","tematica-artificial-intelligence"],"acf":[],"_links":{"self":[{"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/servizio\/2299","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/servizio"}],"about":[{"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/types\/servizio"}],"version-history":[{"count":2,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/servizio\/2299\/revisions"}],"predecessor-version":[{"id":2688,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/servizio\/2299\/revisions\/2688"}],"wp:attachment":[{"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/media?parent=2299"}],"wp:term":[{"taxonomy":"categoria-servizi","embeddable":true,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/categoria-servizi?post=2299"},{"taxonomy":"livello","embeddable":true,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/livello?post=2299"},{"taxonomy":"livello-corso","embeddable":true,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/livello-corso?post=2299"},{"taxonomy":"tematica","embeddable":true,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/tematica?post=2299"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}