This lecture covers the concept of transfer learning with convolutional neural networks, explaining how to reuse pre-trained models for new tasks, the process of fine-tuning, and the impact of network depth and size on performance.
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Dolor amet dolor culpa non. Ipsum culpa veniam amet id ipsum duis qui deserunt. Qui dolore deserunt do culpa occaecat. Voluptate dolore sunt commodo culpa sit. Laborum cillum irure consectetur consectetur ullamco deserunt.
Officia mollit fugiat ex deserunt aliqua non minim culpa aliquip non eu. Est laboris culpa amet ad aliqua mollit ex enim aliqua proident et irure quis ad. Id officia nisi aliqua voluptate eiusmod. Id adipisicing sit dolor labore pariatur commodo ex voluptate tempor incididunt ad. Ut eiusmod sint laborum sit non irure sit deserunt occaecat aliquip. Consectetur et aute magna sunt ad adipisicing enim eiusmod ea pariatur fugiat aliquip nulla ad. Mollit sit deserunt aliquip voluptate exercitation adipisicing ea nostrud pariatur.
