Vinaora Nivo Slider 3.xVinaora Nivo Slider 3.xVinaora Nivo Slider 3.xVinaora Nivo Slider 3.xVinaora Nivo Slider 3.xVinaora Nivo Slider 3.xVinaora Nivo Slider 3.xVinaora Nivo Slider 3.xVinaora Nivo Slider 3.xVinaora Nivo Slider 3.xVinaora Nivo Slider 3.xVinaora Nivo Slider 3.x
Computer architecture
Big Data
Robotics
Railway rolling stock engineering
Self-driving cars
Aerial robotic systems
Electrical engineering
Entrance to the DIETI department
Plasma Modeling and Control
Artificial Intelligence
Renewable energy
Electronics

PhD Program in 
Information Technology and Electrical Engineering (ITEE)

23-25-30/01/2024  01-06-08/02/2024     Ad hoc course

 

 

Title: Using Deep Learning properly

 

Lecturer:  dr. Andrea Apicella - Dieti - Unina - 

 

Period:  23-25-30/01/2024  01-06-08/02/2024

Assessment test:   TBD

Lesson: 6

Credits:  4

The lectures are held in C2A room, ground floor of building #3, via Claudio 21, Napoli

Participants are requested to join the following MS Teams group: https://teams.microsoft.com/l/team/19%3aO83S27sneGGzE6FysYhB3P7OpTu-49maT0JT0RNwL_U1%40thread.tacv2/conversations?groupId=dc321d84-072e-4965-95e3-0f0ddc872860&tenantId=2fcfe26a-bb62-46b0-b1e3-28f9da0c45fd

Once accepted in the Teams group, students have to fill the following .xlsx file with their information:

https://communitystudentiunina-my.sharepoint.com/:x:/g/personal/andrea_apicella_unina_it/ERyITFguH7JKr99o2XVA7z4B216wzWt0fnKFS_BJ8jOGlg?e=dendtT

 

For information: Andrea Apicella, Ph.D. (DIETI, UniNA) – This email address is being protected from spambots. You need JavaScript enabled to view it.

 

 Using Deep Learning properly

 

iteePhD  

News XXXIX Cycle

EasyCookieInfo

© 2019 ITEE PhD Program - All Rights Reserved - Website content management: Adriana D'Auria

Privacy Policy