
Deep Generative Modeling
Jakub M. Tomczak
2022 · 2025 edition
340 pages
Books on artificial intelligence explain machines that learn and reason. How the technology works, what it can and cannot do, and what it means for jobs, creativity and society are all explored. You will find clear introductions for general readers and technical texts for people building these systems. This list shows the ones first published in 2022.

Jakub M. Tomczak
2022 · 2025 edition
340 pages

Johan Vos
Published 2022
264 pages

Anton Ravindran
Published 2022
288 pages

Jeffrey M. Binder
Published 2022
320 pages

Mahmoud Parsian
Published 2022
412 pages

Aditya Bhattacharya
Published 2022
306 pages

David Martens
Published 2022
272 pages

Enzo Yaksic
Published 2022
138 pages

Scott Haines
Published 2022
585 pages

Matthew Topol, Wes McKinney
Published 2022
392 pages

Rex Black, James Davenport, Joanna Olszewska, Jeremias Rößler, Adam Leon Smith, Jonathon Wright
Published 2022
150 pages

Roger Penrose, Emanuele Severino, Giuseppe Vitiello, Federico Faggin, Giacomo Mauro D'Ariano
2022 · 2023 edition
192 pages

Perry Xiao
Published 2022
720 pages

A. C. Hamilton
Published 2022
41 pages

Qingquan Song, Haifeng Jin, Xia Hu
Published 2022
336 pages

Luca Massaron, Konrad Banachewicz
Published 2022
534 pages

Shashank Mohan Jain
Published 2022
165 pages

Simon Bisson, Mary Branscombe, Chris Hoder, Anand Raman
Published 2022
210 pages

Stanislas Chaillou
2022 · 2025 edition
288 pages

Jaime Buelta
2022 · 4457 edition
594 pages

Leonard S. Woody III
Published 2022
252 pages

Michael Munn, David Pitman
Published 2022
278 pages

Nithin Buduma, Nikhil Buduma, Papa Joe
Published 2022
390 pages

Kenneth Graham, Uday Kamath, Wael Emara
Published 2022
257 pages