Deep learning using Keras a complete and compact guide for beginners

Learn deep learning from scratch using Python and Keras. The artificial intelligence domain is divided broadly into deep learning and machine learning. In fact, deep learning is machine learning itself but deep learning with its deep neural networks and algorithms tries to learn high-level features...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Format: Elektronisch Video
Sprache:English
Veröffentlicht: [Birmingham, United Kingdom] Packt Publishing [2021]
Ausgabe:[First edition].
Schlagworte:
Online-Zugang:lizenzpflichtig
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

MARC

LEADER 00000cgm a22000002 4500
001 ZDB-30-ORH-06980155X
003 DE-627-1
005 20240228121605.0
006 m o | |
007 cr uuu---uuuuu
008 211110s2021 xx ||| |o o ||eng c
035 |a (DE-627-1)06980155X 
035 |a (DE-599)KEP06980155X 
035 |a (ORHE)9781803242835 
035 |a (DE-627-1)06980155X 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
082 0 |a 005.13/3  |2 23 
245 1 0 |a Deep learning using Keras  |b a complete and compact guide for beginners  |c Abhilash Nelson 
250 |a [First edition]. 
264 1 |a [Birmingham, United Kingdom]  |b Packt Publishing  |c [2021] 
300 |a 1 online resource (1 video file (9 hr., 37 min.))  |b sound, color. 
336 |a zweidimensionales bewegtes Bild  |b tdi  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
500 |a "Updated in October 2021.". - Online resource; title from title details screen (O'Reilly, viewed March 7, 2022) 
520 |a Learn deep learning from scratch using Python and Keras. The artificial intelligence domain is divided broadly into deep learning and machine learning. In fact, deep learning is machine learning itself but deep learning with its deep neural networks and algorithms tries to learn high-level features from data without human intervention. That makes deep learning the base of all future self-intelligent systems. This course begins with going over the basics of Python and then quickly moves on to important libraries of Python that are critical to data analysis and visualizations, such as NumPy, Pandas, and Matplotlib. After the basics, we will then install the deep learning libraries-Theano and TensorFlow-and the API for dealing with these called Keras. Then, before we jump into deep learning, we will have an elaborate theory session about the basic structure of artificial neuron and neural networks, and about activation functions, loss functions, and optimizers. 
650 0 |a Machine learning 
650 0 |a Python (Computer program language) 
650 0 |a Neural networks (Computer science) 
650 2 |a Neural Networks, Computer 
650 4 |a Apprentissage automatique 
650 4 |a Python (Langage de programmation) 
650 4 |a Réseaux neuronaux (Informatique) 
650 4 |a Machine learning  |0 (OCoLC)fst01004795 
650 4 |a Neural networks (Computer science)  |0 (OCoLC)fst01036260 
650 4 |a Python (Computer program language)  |0 (OCoLC)fst01084736 
650 4 |a Instructional films  |0 (OCoLC)fst01726236 
650 4 |a Internet videos  |0 (OCoLC)fst01750214 
650 4 |a Nonfiction films  |0 (OCoLC)fst01710269 
650 4 |a Instructional films 
650 4 |a Nonfiction films 
650 4 |a Internet videos 
650 4 |a Films de formation 
650 4 |a Films autres que de fiction 
650 4 |a Vidéos sur Internet 
655 2 |a Webcast 
700 1 |a Nelson, Abhilash  |e PräsentatorIn  |4 pre 
710 2 |a Packt Publishing,  |e Verlag  |4 pbl 
856 4 0 |l TUM01  |p ZDB-30-ORH  |q TUM_PDA_ORH  |u https://learning.oreilly.com/library/view/-/9781803242835/?ar  |m X:ORHE  |x Aggregator  |z lizenzpflichtig  |3 Volltext 
912 |a ZDB-30-ORH 
935 |c vide 
951 |a BO 
912 |a ZDB-30-ORH 
049 |a DE-91 

Datensatz im Suchindex

DE-BY-TUM_katkey ZDB-30-ORH-06980155X
_version_ 1818767384094179328
adam_text
any_adam_object
building Verbundindex
bvnumber localTUM
collection ZDB-30-ORH
ctrlnum (DE-627-1)06980155X
(DE-599)KEP06980155X
(ORHE)9781803242835
dewey-full 005.13/3
dewey-hundreds 000 - Computer science, information, general works
dewey-ones 005 - Computer programming, programs, data, security
dewey-raw 005.13/3
dewey-search 005.13/3
dewey-sort 15.13 13
dewey-tens 000 - Computer science, information, general works
discipline Informatik
edition [First edition].
format Electronic
Video
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03209cgm a22006012 4500</leader><controlfield tag="001">ZDB-30-ORH-06980155X</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121605.0</controlfield><controlfield tag="006">m o | | </controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">211110s2021 xx ||| |o o ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)06980155X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP06980155X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781803242835</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)06980155X</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">005.13/3</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Deep learning using Keras</subfield><subfield code="b">a complete and compact guide for beginners</subfield><subfield code="c">Abhilash Nelson</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">[First edition].</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Birmingham, United Kingdom]</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">[2021]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 video file (9 hr., 37 min.))</subfield><subfield code="b">sound, color.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">zweidimensionales bewegtes Bild</subfield><subfield code="b">tdi</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">"Updated in October 2021.". - Online resource; title from title details screen (O'Reilly, viewed March 7, 2022)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Learn deep learning from scratch using Python and Keras. The artificial intelligence domain is divided broadly into deep learning and machine learning. In fact, deep learning is machine learning itself but deep learning with its deep neural networks and algorithms tries to learn high-level features from data without human intervention. That makes deep learning the base of all future self-intelligent systems. This course begins with going over the basics of Python and then quickly moves on to important libraries of Python that are critical to data analysis and visualizations, such as NumPy, Pandas, and Matplotlib. After the basics, we will then install the deep learning libraries-Theano and TensorFlow-and the API for dealing with these called Keras. Then, before we jump into deep learning, we will have an elaborate theory session about the basic structure of artificial neuron and neural networks, and about activation functions, loss functions, and optimizers.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</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">Neural Networks, Computer</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apprentissage automatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Langage de programmation)</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">Machine learning</subfield><subfield code="0">(OCoLC)fst01004795</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Neural networks (Computer science)</subfield><subfield code="0">(OCoLC)fst01036260</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield><subfield code="0">(OCoLC)fst01084736</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Instructional films</subfield><subfield code="0">(OCoLC)fst01726236</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Internet videos</subfield><subfield code="0">(OCoLC)fst01750214</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nonfiction films</subfield><subfield code="0">(OCoLC)fst01710269</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Instructional films</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Nonfiction films</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Internet videos</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Films de formation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Films autres que de fiction</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vidéos sur Internet</subfield></datafield><datafield tag="655" ind1=" " ind2="2"><subfield code="a">Webcast</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nelson, Abhilash</subfield><subfield code="e">PräsentatorIn</subfield><subfield code="4">pre</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Packt Publishing,</subfield><subfield code="e">Verlag</subfield><subfield code="4">pbl</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">TUM01</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781803242835/?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="935" ind1=" " ind2=" "><subfield code="c">vide</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>
genre Webcast
genre_facet Webcast
id ZDB-30-ORH-06980155X
illustrated Not Illustrated
indexdate 2024-12-18T08:49:01Z
institution BVB
language English
open_access_boolean
owner DE-91
DE-BY-TUM
owner_facet DE-91
DE-BY-TUM
physical 1 online resource (1 video file (9 hr., 37 min.)) sound, color.
psigel ZDB-30-ORH
publishDate 2021
publishDateSearch 2021
publishDateSort 2021
publisher Packt Publishing
record_format marc
spelling Deep learning using Keras a complete and compact guide for beginners Abhilash Nelson
[First edition].
[Birmingham, United Kingdom] Packt Publishing [2021]
1 online resource (1 video file (9 hr., 37 min.)) sound, color.
zweidimensionales bewegtes Bild tdi rdacontent
Computermedien c rdamedia
Online-Ressource cr rdacarrier
"Updated in October 2021.". - Online resource; title from title details screen (O'Reilly, viewed March 7, 2022)
Learn deep learning from scratch using Python and Keras. The artificial intelligence domain is divided broadly into deep learning and machine learning. In fact, deep learning is machine learning itself but deep learning with its deep neural networks and algorithms tries to learn high-level features from data without human intervention. That makes deep learning the base of all future self-intelligent systems. This course begins with going over the basics of Python and then quickly moves on to important libraries of Python that are critical to data analysis and visualizations, such as NumPy, Pandas, and Matplotlib. After the basics, we will then install the deep learning libraries-Theano and TensorFlow-and the API for dealing with these called Keras. Then, before we jump into deep learning, we will have an elaborate theory session about the basic structure of artificial neuron and neural networks, and about activation functions, loss functions, and optimizers.
Machine learning
Python (Computer program language)
Neural networks (Computer science)
Neural Networks, Computer
Apprentissage automatique
Python (Langage de programmation)
Réseaux neuronaux (Informatique)
Machine learning (OCoLC)fst01004795
Neural networks (Computer science) (OCoLC)fst01036260
Python (Computer program language) (OCoLC)fst01084736
Instructional films (OCoLC)fst01726236
Internet videos (OCoLC)fst01750214
Nonfiction films (OCoLC)fst01710269
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
Webcast
Nelson, Abhilash PräsentatorIn pre
Packt Publishing, Verlag pbl
TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781803242835/?ar X:ORHE Aggregator lizenzpflichtig Volltext
spellingShingle Deep learning using Keras a complete and compact guide for beginners
Machine learning
Python (Computer program language)
Neural networks (Computer science)
Neural Networks, Computer
Apprentissage automatique
Python (Langage de programmation)
Réseaux neuronaux (Informatique)
Machine learning (OCoLC)fst01004795
Neural networks (Computer science) (OCoLC)fst01036260
Python (Computer program language) (OCoLC)fst01084736
Instructional films (OCoLC)fst01726236
Internet videos (OCoLC)fst01750214
Nonfiction films (OCoLC)fst01710269
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
subject_GND (OCoLC)fst01004795
(OCoLC)fst01036260
(OCoLC)fst01084736
(OCoLC)fst01726236
(OCoLC)fst01750214
(OCoLC)fst01710269
title Deep learning using Keras a complete and compact guide for beginners
title_auth Deep learning using Keras a complete and compact guide for beginners
title_exact_search Deep learning using Keras a complete and compact guide for beginners
title_full Deep learning using Keras a complete and compact guide for beginners Abhilash Nelson
title_fullStr Deep learning using Keras a complete and compact guide for beginners Abhilash Nelson
title_full_unstemmed Deep learning using Keras a complete and compact guide for beginners Abhilash Nelson
title_short Deep learning using Keras
title_sort deep learning using keras a complete and compact guide for beginners
title_sub a complete and compact guide for beginners
topic Machine learning
Python (Computer program language)
Neural networks (Computer science)
Neural Networks, Computer
Apprentissage automatique
Python (Langage de programmation)
Réseaux neuronaux (Informatique)
Machine learning (OCoLC)fst01004795
Neural networks (Computer science) (OCoLC)fst01036260
Python (Computer program language) (OCoLC)fst01084736
Instructional films (OCoLC)fst01726236
Internet videos (OCoLC)fst01750214
Nonfiction films (OCoLC)fst01710269
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
topic_facet Machine learning
Python (Computer program language)
Neural networks (Computer science)
Neural Networks, Computer
Apprentissage automatique
Python (Langage de programmation)
Réseaux neuronaux (Informatique)
Instructional films
Internet videos
Nonfiction films
Films de formation
Films autres que de fiction
Vidéos sur Internet
Webcast
url https://learning.oreilly.com/library/view/-/9781803242835/?ar
work_keys_str_mv AT nelsonabhilash deeplearningusingkerasacompleteandcompactguideforbeginners
AT packtpublishing deeplearningusingkerasacompleteandcompactguideforbeginners