Keras Deep Learning Cookbook: Over 30 recipes for implementing deep neural networks in Python
bLeverage the power of deep learning and Keras to develop smarter and more efficient data models/b h4Key Features/h4 ulliUnderstand different neural networks and their implementation using Keras /li liExplore recipes for training and fine-tuning your neural network models /li liPut your deep learnin...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
|
Ausgabe: | 1 |
Schlagworte: | |
Online-Zugang: | UER01 |
Zusammenfassung: | bLeverage the power of deep learning and Keras to develop smarter and more efficient data models/b h4Key Features/h4 ulliUnderstand different neural networks and their implementation using Keras /li liExplore recipes for training and fine-tuning your neural network models /li liPut your deep learning knowledge to practice with real-world use-cases, tips, and tricks/li/ul h4Book Description/h4 Keras has quickly emerged as a popular deep learning library. Written in Python, it allows you to train convolutional as well as recurrent neural networks with speed and accuracy. The Keras Deep Learning Cookbook shows you how to tackle different problems encountered while training efficient deep learning models, with the help of the popular Keras library. Starting with installing and setting up Keras, the book demonstrates how you can perform deep learning with Keras in the TensorFlow. |
Beschreibung: | 1 Online-Ressource (252 Seiten) |
ISBN: | 9781788623087 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV047070278 | ||
003 | DE-604 | ||
005 | 20211202 | ||
007 | cr|uuu---uuuuu | ||
008 | 201218s2018 |||| o||u| ||||||eng d | ||
020 | |a 9781788623087 |9 978-1-78862-308-7 | ||
035 | |a (ZDB-5-WPSE)9781788623087252 | ||
035 | |a (ZDB-30-PQE)EBC5573403 | ||
035 | |a (OCoLC)1227477359 | ||
035 | |a (DE-599)BVBBV047070278 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-29 | ||
100 | 1 | |a Dua, Rajdeep |e Verfasser |4 aut | |
245 | 1 | 0 | |a Keras Deep Learning Cookbook |b Over 30 recipes for implementing deep neural networks in Python |c Dua, Rajdeep |
250 | |a 1 | ||
264 | 1 | |a Birmingham |b Packt Publishing Limited |c 2018 | |
300 | |a 1 Online-Ressource (252 Seiten) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
520 | |a bLeverage the power of deep learning and Keras to develop smarter and more efficient data models/b h4Key Features/h4 ulliUnderstand different neural networks and their implementation using Keras /li liExplore recipes for training and fine-tuning your neural network models /li liPut your deep learning knowledge to practice with real-world use-cases, tips, and tricks/li/ul h4Book Description/h4 Keras has quickly emerged as a popular deep learning library. Written in Python, it allows you to train convolutional as well as recurrent neural networks with speed and accuracy. The Keras Deep Learning Cookbook shows you how to tackle different problems encountered while training efficient deep learning models, with the help of the popular Keras library. Starting with installing and setting up Keras, the book demonstrates how you can perform deep learning with Keras in the TensorFlow. | ||
650 | 4 | |a COMPUTERS / Intelligence (AI) & | |
650 | 4 | |a Semantics | |
650 | 4 | |a COMPUTERS / Machine Theory | |
700 | 1 | |a Ghotra, Manpreet Singh |e Sonstige |4 oth | |
912 | |a ZDB-30-PQE |a ZDB-5-WPSE | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-032477304 | ||
966 | e | |u https://ebookcentral.proquest.com/lib/erlangen/detail.action?docID=4605509 |l UER01 |p ZDB-30-PQE |q UER_PDA_PQE_Kauf |x Aggregator |3 Volltext |
Datensatz im Suchindex
_version_ | 1804182072927977472 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Dua, Rajdeep |
author_facet | Dua, Rajdeep |
author_role | aut |
author_sort | Dua, Rajdeep |
author_variant | r d rd |
building | Verbundindex |
bvnumber | BV047070278 |
collection | ZDB-30-PQE ZDB-5-WPSE |
ctrlnum | (ZDB-5-WPSE)9781788623087252 (ZDB-30-PQE)EBC5573403 (OCoLC)1227477359 (DE-599)BVBBV047070278 |
edition | 1 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02165nmm a2200373zc 4500</leader><controlfield tag="001">BV047070278</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20211202 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">201218s2018 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781788623087</subfield><subfield code="9">978-1-78862-308-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-5-WPSE)9781788623087252</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-30-PQE)EBC5573403</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1227477359</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047070278</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Dua, Rajdeep</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Keras Deep Learning Cookbook</subfield><subfield code="b">Over 30 recipes for implementing deep neural networks in Python</subfield><subfield code="c">Dua, Rajdeep</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham</subfield><subfield code="b">Packt Publishing Limited</subfield><subfield code="c">2018</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (252 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">bLeverage the power of deep learning and Keras to develop smarter and more efficient data models/b h4Key Features/h4 ulliUnderstand different neural networks and their implementation using Keras /li liExplore recipes for training and fine-tuning your neural network models /li liPut your deep learning knowledge to practice with real-world use-cases, tips, and tricks/li/ul h4Book Description/h4 Keras has quickly emerged as a popular deep learning library. Written in Python, it allows you to train convolutional as well as recurrent neural networks with speed and accuracy. The Keras Deep Learning Cookbook shows you how to tackle different problems encountered while training efficient deep learning models, with the help of the popular Keras library. Starting with installing and setting up Keras, the book demonstrates how you can perform deep learning with Keras in the TensorFlow. </subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS / Intelligence (AI) &amp</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Semantics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS / Machine Theory</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ghotra, Manpreet Singh</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield><subfield code="a">ZDB-5-WPSE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032477304</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/erlangen/detail.action?docID=4605509</subfield><subfield code="l">UER01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">UER_PDA_PQE_Kauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV047070278 |
illustrated | Not Illustrated |
index_date | 2024-07-03T16:13:34Z |
indexdate | 2024-07-10T09:01:45Z |
institution | BVB |
isbn | 9781788623087 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032477304 |
oclc_num | 1227477359 |
open_access_boolean | |
owner | DE-29 |
owner_facet | DE-29 |
physical | 1 Online-Ressource (252 Seiten) |
psigel | ZDB-30-PQE ZDB-5-WPSE ZDB-30-PQE UER_PDA_PQE_Kauf |
publishDate | 2018 |
publishDateSearch | 2018 |
publishDateSort | 2018 |
publisher | Packt Publishing Limited |
record_format | marc |
spelling | Dua, Rajdeep Verfasser aut Keras Deep Learning Cookbook Over 30 recipes for implementing deep neural networks in Python Dua, Rajdeep 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (252 Seiten) txt rdacontent c rdamedia cr rdacarrier bLeverage the power of deep learning and Keras to develop smarter and more efficient data models/b h4Key Features/h4 ulliUnderstand different neural networks and their implementation using Keras /li liExplore recipes for training and fine-tuning your neural network models /li liPut your deep learning knowledge to practice with real-world use-cases, tips, and tricks/li/ul h4Book Description/h4 Keras has quickly emerged as a popular deep learning library. Written in Python, it allows you to train convolutional as well as recurrent neural networks with speed and accuracy. The Keras Deep Learning Cookbook shows you how to tackle different problems encountered while training efficient deep learning models, with the help of the popular Keras library. Starting with installing and setting up Keras, the book demonstrates how you can perform deep learning with Keras in the TensorFlow. COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Machine Theory Ghotra, Manpreet Singh Sonstige oth |
spellingShingle | Dua, Rajdeep Keras Deep Learning Cookbook Over 30 recipes for implementing deep neural networks in Python COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Machine Theory |
title | Keras Deep Learning Cookbook Over 30 recipes for implementing deep neural networks in Python |
title_auth | Keras Deep Learning Cookbook Over 30 recipes for implementing deep neural networks in Python |
title_exact_search | Keras Deep Learning Cookbook Over 30 recipes for implementing deep neural networks in Python |
title_exact_search_txtP | Keras Deep Learning Cookbook Over 30 recipes for implementing deep neural networks in Python |
title_full | Keras Deep Learning Cookbook Over 30 recipes for implementing deep neural networks in Python Dua, Rajdeep |
title_fullStr | Keras Deep Learning Cookbook Over 30 recipes for implementing deep neural networks in Python Dua, Rajdeep |
title_full_unstemmed | Keras Deep Learning Cookbook Over 30 recipes for implementing deep neural networks in Python Dua, Rajdeep |
title_short | Keras Deep Learning Cookbook |
title_sort | keras deep learning cookbook over 30 recipes for implementing deep neural networks in python |
title_sub | Over 30 recipes for implementing deep neural networks in Python |
topic | COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Machine Theory |
topic_facet | COMPUTERS / Intelligence (AI) & Semantics COMPUTERS / Machine Theory |
work_keys_str_mv | AT duarajdeep kerasdeeplearningcookbookover30recipesforimplementingdeepneuralnetworksinpython AT ghotramanpreetsingh kerasdeeplearningcookbookover30recipesforimplementingdeepneuralnetworksinpython |