{"id":2317,"date":"2025-08-04T19:50:10","date_gmt":"2025-08-04T17:50:10","guid":{"rendered":"https:\/\/expand-edih.com\/servizio\/deep-learning-advanced-supervised-and-unsupervised-approaches\/"},"modified":"2025-09-29T09:34:25","modified_gmt":"2025-09-29T07:34:25","slug":"deep-learning-advanced-supervised-and-unsupervised-approaches","status":"publish","type":"servizio","link":"https:\/\/expand-edih.com\/en\/servizio\/deep-learning-advanced-supervised-and-unsupervised-approaches\/","title":{"rendered":"Deep Learning Advanced \u2013 Supervised and Unsupervised Approaches"},"content":{"rendered":"<p>The course addresses advanced deep learning topics, with a particular focus on optimizing model design and training pipelines for real-world applications.<\/p>\n<p>Learning strategies at various levels of supervision are discussed, along with methods for optimizing architecture design. Additionally, the course delves into issues that may arise when using models in the real world, discussing strategies to enhance their robustness.<\/p>\n<p><strong>Module 1: Deep Learning Advanced \u2013 supervised and unsupervised approaches<\/strong><\/p>\n<p>Deep Learning: brief recap<br \/>\nLearning strategies: how to learn with different levels of supervision<br \/>\n\u2022 Supervised learning<br \/>\n\u2022 Unsupervised learning<br \/>\n\u2022 Self- and weakly-supervision<\/p>\n<p>Typologies of architectures<br \/>\nOptimization of neural networks: when existing designs are not usable<br \/>\n\u2022 Neural network design<br \/>\n\u2022 Auto-ML<br \/>\n\u2022 Neural Architecture Search<br \/>\n\u2022 Optimization of the efficiency\u2013accuracy trade-off<\/p>\n<p>Neural network robustness:<br \/>\n\u2022 Domain shift: strategies to mitigate performance drops across domains<br \/>\n\u2022 Robustness to external disturbances (e.g., HW faults).<\/p>\n<p>Not only images:<br \/>\n\u2022 Learning on videos<br \/>\n\u2022 Learning on unstructured data (graph-based).<\/p>\n<p><strong>Module 2: Intro to practical Deep Learning<\/strong><\/p>\n<ul>\n<li>Brief recap on Python basics.<\/li>\n<li>Intro to PyTorch.<\/li>\n<li>How to Write Your Model.<\/li>\n<li>How to Train Your Model.<\/li>\n<li>Data Augmentation.<\/li>\n<li>Model Validation and Testing.<\/li>\n<\/ul>\n<h5><strong>OBJECTIVES<\/strong><\/h5>\n<p>The course aims to address advanced learning topics, providing theoretical knowledge on different supervision strategies and techniques to optimize and strengthen networks.<\/p>\n<h5><strong>PREREQUISITES<\/strong><\/h5>\n<p>To fully benefit from this course, it is necessary to possess theoretical and practical knowledge of Artificial Intelligence.<\/p>\n","protected":false},"featured_media":0,"parent":0,"template":"","categoria-servizi":[96,97],"livello":[92],"livello-corso":[108],"tematica":[102],"class_list":["post-2317","servizio","type-servizio","status-publish","hentry","categoria-servizi-training-and-skills-development-2","categoria-servizi-vertical-training-programmes","livello-specialized","livello-corso-advanced","tematica-artificial-intelligence"],"acf":[],"_links":{"self":[{"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/servizio\/2317","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":3,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/servizio\/2317\/revisions"}],"predecessor-version":[{"id":2663,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/servizio\/2317\/revisions\/2663"}],"wp:attachment":[{"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/media?parent=2317"}],"wp:term":[{"taxonomy":"categoria-servizi","embeddable":true,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/categoria-servizi?post=2317"},{"taxonomy":"livello","embeddable":true,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/livello?post=2317"},{"taxonomy":"livello-corso","embeddable":true,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/livello-corso?post=2317"},{"taxonomy":"tematica","embeddable":true,"href":"https:\/\/expand-edih.com\/en\/wp-json\/wp\/v2\/tematica?post=2317"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}