TensorFlow Pocket Primer / / Oswald Campesato.
As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover dee...
Saved in:
| VerfasserIn: | |
|---|---|
| Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2019] ©2019 |
| Year of Publication: | 2019 |
| Language: | English |
| Series: | Pocket Primer
|
| Online Access: | |
| Physical Description: | 1 online resource (152 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 02840nmm a2200589Ia 4500 | ||
|---|---|---|---|
| 001 | 9781683923664 | ||
| 003 | DE-B1597 | ||
| 005 | 20240326120151.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr || |||||||| | ||
| 008 | 240326t20192019xxu fo d z eng d | ||
| 020 | |a 9781683923664 | ||
| 024 | 7 | |a 10.1515/9781683923664 |2 doi | |
| 035 | |a (DE-B1597)672136 | ||
| 040 | |a DE-B1597 |b eng |c DE-B1597 |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c US | ||
| 072 | 7 | |a COM051360 |2 bisacsh | |
| 082 | 0 | 4 | |a 005 |q OCoLC |2 22/eng/20230216 |
| 100 | 1 | |a Campesato, Oswald, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a TensorFlow Pocket Primer / |c Oswald Campesato. |
| 264 | 1 | |a Dulles, VA : |b Mercury Learning and Information, |c [2019] | |
| 264 | 4 | |c ©2019 | |
| 300 | |a 1 online resource (152 p.) | ||
| 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 |b PDF |2 rda | ||
| 490 | 0 | |a Pocket Primer | |
| 506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
| 520 | |a As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to TensorFlow 1.x fundamentals for basic machine learning algorithms in TensorFlow. It is intended to be a fast-paced introduction to various “core” features of TensorFlow, with code samples that cover deep learning and TensorFlow basics. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge. Companion files with all of the code samples are available for downloading from the publisher by writing to info@merclearning.com. Features: Uses Python for code samplesCovers TensorFlow APIs and DatasetsAssumes the reader has very limited experienceCompanion files with all of the source code examples (download from the publisher) | ||
| 530 | |a Issued also in print. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 26. Mrz 2024) | |
| 650 | 4 | |a Programming. | |
| 650 | 7 | |a COMPUTERS / Programming Languages / Python. |2 bisacsh | |
| 776 | 0 | |c EPUB |z 9781683923657 | |
| 776 | 0 | |c print |z 9781683923640 | |
| 856 | 4 | 0 | |u https://doi.org/10.1515/9781683923664 |
| 856 | 4 | 0 | |u https://www.degruyter.com/isbn/9781683923664 |
| 856 | 4 | 2 | |3 Cover |u https://www.degruyter.com/document/cover/isbn/9781683923664/original |
| 912 | |a EBA_BACKALL | ||
| 912 | |a EBA_CL_CHCOMSGSEN | ||
| 912 | |a EBA_DGALL | ||
| 912 | |a EBA_EBACKALL | ||
| 912 | |a EBA_EBKALL | ||
| 912 | |a EBA_ECL_CHCOMSGSEN | ||
| 912 | |a EBA_EEBKALL | ||
| 912 | |a EBA_ESTMALL | ||
| 912 | |a EBA_STMALL | ||
| 912 | |a GBV-deGruyter-alles | ||