Getting started with TensorFlow:
This Lesson will answer your key questions about getting started with TensorFlow, a library for machine learning and working with deep neural networks. What you'll learn--and how you can apply it You'll learn the necessary basics to get starting using TensorFlow and will be able to follow...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Place of publication not identified]
O'Reilly
[2017]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781491978757/?ar |
| Zusammenfassung: | This Lesson will answer your key questions about getting started with TensorFlow, a library for machine learning and working with deep neural networks. What you'll learn--and how you can apply it You'll learn the necessary basics to get starting using TensorFlow and will be able to follow TensorFlow tutorials. This lesson is for you because You've gained a technical understanding of TensorFlow basics and are ready to move to the next step of training a very large neural network. You want to learn the basics of TensorFlow, including installation, managing graphs, placeholders, and optimization. You have some programming experience and you eventually want to take your skills to the next level and train very large neural nets. You don't have much experience in deep learning libraries, hands-on with examples of code. Prerequisites: Understanding of gradient descent Programming experience (understanding of how to code in Python) Materials or downloads needed: Python TensorFlow (recommend latest version, code written and tested on v. 0.11). |
| Beschreibung: | "From Hands-on machine learning with Scikit-Learn and TensorFlow by Aurélien Géron"--Cover. - Date of publication from resource description page. - Online resource; title from title page (Safari, viewed May 25, 2017) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 9781491978757 1491978759 |
Internformat
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-04762034X | ||
| 003 | DE-627-1 | ||
| 005 | 20240228120303.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 191023s2017 xx |||||o 00| ||eng c | ||
| 020 | |a 9781491978757 |9 978-1-4919-7875-7 | ||
| 020 | |a 1491978759 |9 1-4919-7875-9 | ||
| 035 | |a (DE-627-1)04762034X | ||
| 035 | |a (DE-599)KEP04762034X | ||
| 035 | |a (ORHE)9781491978757 | ||
| 035 | |a (DE-627-1)04762034X | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a [E] | |
| 100 | 1 | |a Géron, Aurélien |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Getting started with TensorFlow |c Aurélien Géron |
| 264 | 1 | |a [Place of publication not identified] |b O'Reilly |c [2017] | |
| 300 | |a 1 Online-Ressource (1 volume) |b illustrations | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a "From Hands-on machine learning with Scikit-Learn and TensorFlow by Aurélien Géron"--Cover. - Date of publication from resource description page. - Online resource; title from title page (Safari, viewed May 25, 2017) | ||
| 520 | |a This Lesson will answer your key questions about getting started with TensorFlow, a library for machine learning and working with deep neural networks. What you'll learn--and how you can apply it You'll learn the necessary basics to get starting using TensorFlow and will be able to follow TensorFlow tutorials. This lesson is for you because You've gained a technical understanding of TensorFlow basics and are ready to move to the next step of training a very large neural network. You want to learn the basics of TensorFlow, including installation, managing graphs, placeholders, and optimization. You have some programming experience and you eventually want to take your skills to the next level and train very large neural nets. You don't have much experience in deep learning libraries, hands-on with examples of code. Prerequisites: Understanding of gradient descent Programming experience (understanding of how to code in Python) Materials or downloads needed: Python TensorFlow (recommend latest version, code written and tested on v. 0.11). | ||
| 650 | 0 | |a Machine learning | |
| 650 | 0 | |a Artificial intelligence | |
| 650 | 4 | |a Apprentissage automatique | |
| 650 | 4 | |a Intelligence artificielle | |
| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Machine learning | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781491978757/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-04762034X |
|---|---|
| _version_ | 1821494872115249152 |
| adam_text | |
| any_adam_object | |
| author | Géron, Aurélien |
| author_facet | Géron, Aurélien |
| author_role | aut |
| author_sort | Géron, Aurélien |
| author_variant | a g ag |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)04762034X (DE-599)KEP04762034X (ORHE)9781491978757 |
| dewey-raw | [E] |
| dewey-search | [E] |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02643cam a22004332 4500</leader><controlfield tag="001">ZDB-30-ORH-04762034X</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120303.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2017 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781491978757</subfield><subfield code="9">978-1-4919-7875-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1491978759</subfield><subfield code="9">1-4919-7875-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)04762034X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP04762034X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781491978757</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)04762034X</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">[E]</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Géron, Aurélien</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Getting started with TensorFlow</subfield><subfield code="c">Aurélien Géron</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Place of publication not identified]</subfield><subfield code="b">O'Reilly</subfield><subfield code="c">[2017]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 volume)</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">"From Hands-on machine learning with Scikit-Learn and TensorFlow by Aurélien Géron"--Cover. - Date of publication from resource description page. - Online resource; title from title page (Safari, viewed May 25, 2017)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This Lesson will answer your key questions about getting started with TensorFlow, a library for machine learning and working with deep neural networks. What you'll learn--and how you can apply it You'll learn the necessary basics to get starting using TensorFlow and will be able to follow TensorFlow tutorials. This lesson is for you because You've gained a technical understanding of TensorFlow basics and are ready to move to the next step of training a very large neural network. You want to learn the basics of TensorFlow, including installation, managing graphs, placeholders, and optimization. You have some programming experience and you eventually want to take your skills to the next level and train very large neural nets. You don't have much experience in deep learning libraries, hands-on with examples of code. Prerequisites: Understanding of gradient descent Programming experience (understanding of how to code in Python) Materials or downloads needed: Python TensorFlow (recommend latest version, code written and tested on v. 0.11).</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apprentissage automatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781491978757/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-04762034X |
| illustrated | Illustrated |
| indexdate | 2025-01-17T11:21:16Z |
| institution | BVB |
| isbn | 9781491978757 1491978759 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (1 volume) illustrations |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | O'Reilly |
| record_format | marc |
| spelling | Géron, Aurélien VerfasserIn aut Getting started with TensorFlow Aurélien Géron [Place of publication not identified] O'Reilly [2017] 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier "From Hands-on machine learning with Scikit-Learn and TensorFlow by Aurélien Géron"--Cover. - Date of publication from resource description page. - Online resource; title from title page (Safari, viewed May 25, 2017) This Lesson will answer your key questions about getting started with TensorFlow, a library for machine learning and working with deep neural networks. What you'll learn--and how you can apply it You'll learn the necessary basics to get starting using TensorFlow and will be able to follow TensorFlow tutorials. This lesson is for you because You've gained a technical understanding of TensorFlow basics and are ready to move to the next step of training a very large neural network. You want to learn the basics of TensorFlow, including installation, managing graphs, placeholders, and optimization. You have some programming experience and you eventually want to take your skills to the next level and train very large neural nets. You don't have much experience in deep learning libraries, hands-on with examples of code. Prerequisites: Understanding of gradient descent Programming experience (understanding of how to code in Python) Materials or downloads needed: Python TensorFlow (recommend latest version, code written and tested on v. 0.11). Machine learning Artificial intelligence Apprentissage automatique Intelligence artificielle artificial intelligence |
| spellingShingle | Géron, Aurélien Getting started with TensorFlow Machine learning Artificial intelligence Apprentissage automatique Intelligence artificielle artificial intelligence |
| title | Getting started with TensorFlow |
| title_auth | Getting started with TensorFlow |
| title_exact_search | Getting started with TensorFlow |
| title_full | Getting started with TensorFlow Aurélien Géron |
| title_fullStr | Getting started with TensorFlow Aurélien Géron |
| title_full_unstemmed | Getting started with TensorFlow Aurélien Géron |
| title_short | Getting started with TensorFlow |
| title_sort | getting started with tensorflow |
| topic | Machine learning Artificial intelligence Apprentissage automatique Intelligence artificielle artificial intelligence |
| topic_facet | Machine learning Artificial intelligence Apprentissage automatique Intelligence artificielle artificial intelligence |
| work_keys_str_mv | AT geronaurelien gettingstartedwithtensorflow |