Deep Learning: Fundamentals, Theory and Applications
The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures and algorithms, present its latest theoretical progress, discuss the most popular deep learning platforms and data sets, and describe how ma...
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
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Άλλοι συγγραφείς: | Huang, Kaizhu (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Hussain, Amir (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Wang, Qiu-Feng (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zhang, Rui (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
Έκδοση: | 1st ed. 2019. |
Σειρά: | Cognitive Computation Trends,
2 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
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