| Tag |
First Indicator |
Second Indicator |
Subfields |
| LEADER |
00000uam a2200000 a 4500 |
| 001 |
in00004100314 |
| 005 |
20260128224757.9 |
| 006 |
m o d |
| 007 |
cr cn |
| 008 |
201217s2017 xx o eng |
| 020 |
|
|
|z 9781617294433
|
| 035 |
|
|
|a (CaSebORM)9781617294433
|
| 040 |
|
|
|d UtOrBLW
|
| 041 |
0 |
|
|a eng
|
| 100 |
1 |
|
|a Chollet, François,
|e author.
|0 http://id.loc.gov/authorities/names/no2018003448
|
| 245 |
1 |
0 |
|a Deep Learning with Python /
|c Chollet, Francois.
|
| 250 |
|
|
|a 1st edition.
|
| 264 |
|
1 |
|b Manning Publications,
|c 2017.
|
| 300 |
|
|
|a 1 online resource (384 pages)
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|
| 520 |
|
|
|a Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
|
| 533 |
|
|
|a Electronic reproduction.
|b Boston, MA :
|c Safari,
|n Available via World Wide Web.
|d 2017.
|
| 538 |
|
|
|a Mode of access: World Wide Web.
|
| 542 |
|
|
|f © 2017 Manning Publications Co. All rights reserved.
|g 2017
|
| 588 |
|
|
|a Online resource; Title from title page (viewed December 13, 2017)
|
| 500 |
|
|
|a Electronic resource.
|
| 655 |
|
7 |
|a Electronic books.
|2 local
|
| 710 |
2 |
|
|a Safari, an O'Reilly Media Company.
|
| 856 |
4 |
0 |
|u https://proxy.library.tamu.edu/login?url=https://go.oreilly.com/TAMU/library/view/-/9781617294433/?ar
|z Connect to this electronic resource
|t 0
|
| 999 |
f |
f |
|s fed4e147-e5c7-343f-b19d-858dd9ae9d96
|i e51de0c5-05c4-3d23-aff4-534ae600f32b
|t 0
|
| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
|t 0
|h No information provided
|
| 998 |
f |
f |
|t 0
|l Available Online
|