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- IndietroNeural networks P12
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Laboratories
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Research group laboratories
- Control . Observation . Meetings . P01
- Experimental psychopathology A08
- Vision . Eeg E08
- Neuropsychology P14
- Subject box . Eeg D01
- Neuroscan D02
- Data analysis and brain mapping . Programming D03
- Movement analysis D06
- Psychophysiology E00
- TMS Pulse E01
- TMS E03
- Psychophysiology E04
- Psychophysiology E05
- Forensic psychology P15
- Nirs Geodesic
- EGI GES 300
- HTLab ergonomics A01
- Virtual reality . Subjects A10
- Virtual reality A11
- Graphics and video editing B03
- Honda simulator C03
- Lander simulator C04
- Control Cave . Subjects box C06
- Subjects Box C08
- Silent booth C09
- Subjects Box C10
- Subjects Box C11
- HTLab interaction & communication P16
- Vision A02
- Subjects Box A03
- Data Analyis . Jolly A04
- Subjects Box A05
- Test subjects . Eye Movements C12
- Visual Processing E07
- Test subjects . Eye Movements P09
- Neural networks P12
- Neural networks P13
- Learning disorders A07
- Learning disorders A09
- Cave C02
- Test Subjects D04
- Methodology B08
- Methodology B09
- Data Processing C00
- Facilities for non-human models F03
- Facilities for non-human models F04
- Facilities for non-human models F05
- Facilities for non-human models F06
- Facilities for non-human models F07
- Facilities for non-human models F08
- Facilities for non-human models F09
- Facilities for non-human models F10
- Facilities for non-human models F11
- 3D printers and machining B00
- Mind(the)Plant Lab
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Research group laboratories
Neural networks P12 (Psico1 – ground floor – room 032 – tel. 6528)
Assignment: Marco Zorzi
Referee for teaching and research activity: Marco Zorzi
Technical referees: Luca Semenzato, Sara Errigo, Andrei Senyuva
In charge of safety procedures: Delegate Professor for Laboratories Commission
Geotec: 1210-00 032
Description
Questo laboratorio riunisce ricercatori, ingegneri e studenti con un interesse condiviso per l'intelligenza artificiale e il deep learning. In un laboratorio di reti neurali, le persone possono sperimentare diversi tipi di architetture e algoritmi di reti neurali, nonché sviluppare nuovi approcci all'intelligenza artificiale e al deep learning. Il laboratorio è dotato di risorse di calcolo ad alte prestazioni, comprese le GPU, essenziali per l'addestramento di reti neurali complesse e di grandi dimensioni.
Equipment
- 2 workstations for Neural Networks (MATLAB)