Saved in:
| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
[Place of publication not identified]
O'Reilly
[2018]
|
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781492037330/?ar |
| Summary: | Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning--especially deep neural networks--make a real difference in your organization? This lesson provides a practical overview of the foundations of neural networks and deep learning and also looks at deep networks. This lesson is for you because you are a data scientist or software developer who wants to understand and be able to use efficient tools to implement programs capable of learning from data. |
| Item Description: | "From Deep learning by Josh Patterson & Adam Gibson"--Cover. - Date of publication from resource description page. - Includes bibliographical references. - Online resource; title from title page (Safari, viewed March 16, 2018) |
| Physical Description: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 9781492037330 1492037338 |
Staff View
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-047628227 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228120447.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 191023s2018 xx |||||o 00| ||eng c | ||
| 020 | |a 9781492037330 |9 978-1-4920-3733-0 | ||
| 020 | |a 1492037338 |9 1-4920-3733-8 | ||
| 035 | |a (DE-627-1)047628227 | ||
| 035 | |a (DE-599)KEP047628227 | ||
| 035 | |a (ORHE)9781492037330 | ||
| 035 | |a (DE-627-1)047628227 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a [E] | |
| 100 | 1 | |a Patterson, Josh |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Getting started with deep learning |c Josh Patterson and Adam Gibson |
| 264 | 1 | |a [Place of publication not identified] |b O'Reilly |c [2018] | |
| 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 Deep learning by Josh Patterson & Adam Gibson"--Cover. - Date of publication from resource description page. - Includes bibliographical references. - Online resource; title from title page (Safari, viewed March 16, 2018) | ||
| 520 | |a Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning--especially deep neural networks--make a real difference in your organization? This lesson provides a practical overview of the foundations of neural networks and deep learning and also looks at deep networks. This lesson is for you because you are a data scientist or software developer who wants to understand and be able to use efficient tools to implement programs capable of learning from data. | ||
| 650 | 0 | |a Machine learning | |
| 650 | 0 | |a Artificial intelligence | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 2 | |a Artificial Intelligence | |
| 650 | 2 | |a Neural Networks, Computer | |
| 650 | 2 | |a Machine Learning | |
| 650 | 4 | |a Apprentissage automatique | |
| 650 | 4 | |a Intelligence artificielle | |
| 650 | 4 | |a Réseaux neuronaux (Informatique) | |
| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Neural networks (Computer science) | |
| 700 | 1 | |a Gibson, Adam |d 1989- |e VerfasserIn |4 aut | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781492037330/?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 | ||
Record in the Search Index
| DE-BY-TUM_katkey | ZDB-30-ORH-047628227 |
|---|---|
| _version_ | 1835903185636556801 |
| adam_text | |
| any_adam_object | |
| author | Patterson, Josh Gibson, Adam 1989- |
| author_facet | Patterson, Josh Gibson, Adam 1989- |
| author_role | aut aut |
| author_sort | Patterson, Josh |
| author_variant | j p jp a g ag |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)047628227 (DE-599)KEP047628227 (ORHE)9781492037330 |
| 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>02488cam a22005172c 4500</leader><controlfield tag="001">ZDB-30-ORH-047628227</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120447.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781492037330</subfield><subfield code="9">978-1-4920-3733-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1492037338</subfield><subfield code="9">1-4920-3733-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047628227</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047628227</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781492037330</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047628227</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">Patterson, Josh</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 deep learning</subfield><subfield code="c">Josh Patterson and Adam Gibson</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">[2018]</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 Deep learning by Josh Patterson & Adam Gibson"--Cover. - Date of publication from resource description page. - Includes bibliographical references. - Online resource; title from title page (Safari, viewed March 16, 2018)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning--especially deep neural networks--make a real difference in your organization? This lesson provides a practical overview of the foundations of neural networks and deep learning and also looks at deep networks. This lesson is for you because you are a data scientist or software developer who wants to understand and be able to use efficient tools to implement programs capable of learning from data.</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="0"><subfield code="a">Neural networks (Computer science)</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Neural Networks, Computer</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Machine Learning</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">Réseaux neuronaux (Informatique)</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="650" ind1=" " ind2="4"><subfield code="a">Neural networks (Computer science)</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gibson, Adam</subfield><subfield code="d">1989-</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</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/-/9781492037330/?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-047628227 |
| illustrated | Illustrated |
| indexdate | 2025-06-25T12:15:15Z |
| institution | BVB |
| isbn | 9781492037330 1492037338 |
| 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 | 2018 |
| publishDateSearch | 2018 |
| publishDateSort | 2018 |
| publisher | O'Reilly |
| record_format | marc |
| spelling | Patterson, Josh VerfasserIn aut Getting started with deep learning Josh Patterson and Adam Gibson [Place of publication not identified] O'Reilly [2018] 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier "From Deep learning by Josh Patterson & Adam Gibson"--Cover. - Date of publication from resource description page. - Includes bibliographical references. - Online resource; title from title page (Safari, viewed March 16, 2018) Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning--especially deep neural networks--make a real difference in your organization? This lesson provides a practical overview of the foundations of neural networks and deep learning and also looks at deep networks. This lesson is for you because you are a data scientist or software developer who wants to understand and be able to use efficient tools to implement programs capable of learning from data. Machine learning Artificial intelligence Neural networks (Computer science) Artificial Intelligence Neural Networks, Computer Machine Learning Apprentissage automatique Intelligence artificielle Réseaux neuronaux (Informatique) artificial intelligence Gibson, Adam 1989- VerfasserIn aut |
| spellingShingle | Patterson, Josh Gibson, Adam 1989- Getting started with deep learning Machine learning Artificial intelligence Neural networks (Computer science) Artificial Intelligence Neural Networks, Computer Machine Learning Apprentissage automatique Intelligence artificielle Réseaux neuronaux (Informatique) artificial intelligence |
| title | Getting started with deep learning |
| title_auth | Getting started with deep learning |
| title_exact_search | Getting started with deep learning |
| title_full | Getting started with deep learning Josh Patterson and Adam Gibson |
| title_fullStr | Getting started with deep learning Josh Patterson and Adam Gibson |
| title_full_unstemmed | Getting started with deep learning Josh Patterson and Adam Gibson |
| title_short | Getting started with deep learning |
| title_sort | getting started with deep learning |
| topic | Machine learning Artificial intelligence Neural networks (Computer science) Artificial Intelligence Neural Networks, Computer Machine Learning Apprentissage automatique Intelligence artificielle Réseaux neuronaux (Informatique) artificial intelligence |
| topic_facet | Machine learning Artificial intelligence Neural networks (Computer science) Artificial Intelligence Neural Networks, Computer Machine Learning Apprentissage automatique Intelligence artificielle Réseaux neuronaux (Informatique) artificial intelligence |
| work_keys_str_mv | AT pattersonjosh gettingstartedwithdeeplearning AT gibsonadam gettingstartedwithdeeplearning |