|
|
|
|
LEADER |
01775nam a22004457i 4500 |
001 |
MUB01006451355 |
003 |
CZ BrMU |
005 |
20191031092957.0 |
008 |
191002s2018 xxk||||| |||||||||||eng d |
STA |
|
|
|a POSLANO DO SKCR
|b 2020-01-13
|
020 |
|
|
|a 978-1-78883-424-7
|
040 |
|
|
|a BOD035
|b cze
|e rda
|
072 |
|
7 |
|a 004.8
|x Umělá inteligence
|2 Konspekt
|9 23
|
080 |
|
|
|a 004.852
|2 MRF
|
080 |
|
|
|a 004.85
|2 MRF
|
100 |
1 |
|
|a Lapan, Maxim
|7 ctu20191055179
|4 aut
|
245 |
1 |
0 |
|a Deep reinforcement learning hands-on :
|b apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more /
|c Maxim Lapan
|
264 |
|
1 |
|a Birmingham :
|b Packt,
|c 2018
|
300 |
|
|
|a xvi, 523 stran :
|b ilustrace
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a bez média
|b n
|2 rdamedia
|
338 |
|
|
|a svazek
|b nc
|2 rdacarrier
|
650 |
0 |
7 |
|a hluboké učení
|7 ph1042930
|2 czenas
|
650 |
0 |
7 |
|a strojové učení
|7 ph126143
|2 czenas
|
650 |
0 |
9 |
|a deep learning
|2 eczenas
|
650 |
0 |
9 |
|a machine learning
|2 eczenas
|
655 |
|
7 |
|a příručky
|7 fd133209
|2 czenas
|
655 |
|
9 |
|a handbooks and manuals
|2 eczenas
|
CAT |
|
|
|a VASICEK
|b 02
|c 20191002
|l MUB01
|h 1405
|
CAT |
|
|
|a VASICEK
|b 02
|c 20191004
|l MUB01
|h 0838
|
CAT |
|
|
|a VACOVAX
|b 02
|c 20191031
|l MUB01
|h 0929
|
CAT |
|
|
|a BATCH-UPD
|b 02
|c 20191101
|l MUB01
|h 0013
|
CAT |
|
|
|c 20200113
|l MUB01
|h 1006
|
CAT |
|
|
|c 20210614
|l MUB01
|h 1034
|
CAT |
|
|
|c 20210614
|l MUB01
|h 2021
|
CAT |
|
|
|a BATCH
|b 00
|c 20210724
|l MUB01
|h 1313
|
LOW |
|
|
|a POSLANO DO SKCR
|b 2020-01-13
|
994 |
- |
1 |
|l MUB01
|l MUB01
|m BOOK
|1 KUK
|a Knihovna univ. kampusu
|2 DLOVY
|b KUK - dlouhodobé
|5 3285017043
|8 20191002
|f 77
|f Dlouhodobá
|g 2019-794
|r 20191004
|s kup
|
AVA |
|
|
|a MED50
|b KUK
|c KUK - dlouhodobé
|e unavailable
|t Není k dispozici
|f 1
|g 1
|h N
|i 0
|j DLOVY
|k 0
|