Lombardi – Deep Learning for Historical Document Analysis and…

Libro adottato a Bologna, a.a. 2026/2027 · 1 canale

«Lombardi – Deep Learning for Historical Document Analysis and…» è adottato per Machine Learning For The Humanities (1) (Lm) dal prof. Giovanni Colavizza (Digital Humanities and Digital Knowledge – Bologna).

Come lo indica il docente: Lombardi, Francesco, and Simone Marinai. “Deep Learning for Historical Document Analysis and Recognition—A Survey.” Journal of Imaging 6, no. 10 (October 16, 2020): 110. https://doi.org/10.3390/jimaging6100110

Chi lo adotta

• Machine Learning For The Humanities (1) (Lm) – Prof. Giovanni Colavizza (canale unico)Digital Humanities and Digital Knowledge · Laurea magistrale (LM-43) · esame facoltativo · 6 CFU

Programma e testi di ogni canale

Si studia insieme a

• Zhang et al., Dive Into Deep Learning, MIT
• Allamar, Jay, The Illustrated Transformer, 2018. https://jalammar.github.io/illustrated-transformer
• Riedl – A Very Gentle Introduction to LLMs
• GPT-4
• An Overview of Current Debates and Future…
• Fiorucci – Machine Learning for Cultural Heritage