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The Resource Distributed deep learning with Apache Spark, Tomasz Lelek

Distributed deep learning with Apache Spark, Tomasz Lelek

Creator
Speaker
Summary
"Deep learning is a subfield of Artificial Intelligence and Machine Learning where a huge amount of data is processed in complex layers of neural networks. It has solved tons of interesting real-world problems in recent years. Distributed deep learning (DL) involves training a deep neural network in parallel across multiple machines. In this course, you will get started with implementing Deep Learning solutions easily with the help of Apache Spark. You will begin with a short introduction on Deep Learning and Apache Spark and the principles of distributed modeling. With the help of real-world examples, you will investigate different types of neural network and work with DL libraries such as BigDL, Deeplearning4j, and the Deep Learning pipelines library to implement DL models and distributed computing on Spark. You will see how you can easily use a large dataset to implement efficient DL solutions to simplify real-world examples. You will also learn how to distribute the computationally heavy parts of DL into processes with the help of Apache Spark. By the end of this course, you'll have gained experience in implementing Distributed Deep Learning for your models at work. Our examples will be based on real-world problems from the banking industry."--Resource description page
Language
eng
Work
Publication
Extent
1 online resource (1 streaming video file (1 hr., 50 min., 26 sec.))
Note
Title from resource description page (Safari, viewed April 11, 2019)
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781838553838
Instance
Label
Distributed deep learning with Apache Spark
Title
Distributed deep learning with Apache Spark
Statement of responsibility
Tomasz Lelek
Creator
Speaker
Subject
Language
eng
Summary
"Deep learning is a subfield of Artificial Intelligence and Machine Learning where a huge amount of data is processed in complex layers of neural networks. It has solved tons of interesting real-world problems in recent years. Distributed deep learning (DL) involves training a deep neural network in parallel across multiple machines. In this course, you will get started with implementing Deep Learning solutions easily with the help of Apache Spark. You will begin with a short introduction on Deep Learning and Apache Spark and the principles of distributed modeling. With the help of real-world examples, you will investigate different types of neural network and work with DL libraries such as BigDL, Deeplearning4j, and the Deep Learning pipelines library to implement DL models and distributed computing on Spark. You will see how you can easily use a large dataset to implement efficient DL solutions to simplify real-world examples. You will also learn how to distribute the computationally heavy parts of DL into processes with the help of Apache Spark. By the end of this course, you'll have gained experience in implementing Distributed Deep Learning for your models at work. Our examples will be based on real-world problems from the banking industry."--Resource description page
Cataloging source
UMI
Characteristic
videorecording
http://library.link/vocab/creatorName
Lelek, Tomasz
LC call number
Q325.5
PerformerNote
Presenter, Tomasz Lelek
Runtime
111
http://library.link/vocab/subjectName
  • Machine learning
  • Neural networks (Computer science)
  • Application software
Technique
live action
Label
Distributed deep learning with Apache Spark, Tomasz Lelek
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781838553838
Instantiates
Publication
Note
Title from resource description page (Safari, viewed April 11, 2019)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Configuration of playback channels
unknown
Content category
two-dimensional moving image
Content type code
  • tdi
Content type MARC source
rdacontent
Control code
on1096452785
Dimensions
unknown
Extent
1 online resource (1 streaming video file (1 hr., 50 min., 26 sec.))
Form of item
online
Media category
  • computer
  • video
Media MARC source
  • rdamedia
  • rdamedia
Media type code
  • c
  • v
Medium for sound
other
Other physical details
digital, sound, color
Sound
sound
Sound on medium or separate
sound on medium
Specific material designation
  • remote
  • other
Stock number
CL0501000041
Video recording format
other
Label
Distributed deep learning with Apache Spark, Tomasz Lelek
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781838553838
Publication
Note
Title from resource description page (Safari, viewed April 11, 2019)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Configuration of playback channels
unknown
Content category
two-dimensional moving image
Content type code
  • tdi
Content type MARC source
rdacontent
Control code
on1096452785
Dimensions
unknown
Extent
1 online resource (1 streaming video file (1 hr., 50 min., 26 sec.))
Form of item
online
Media category
  • computer
  • video
Media MARC source
  • rdamedia
  • rdamedia
Media type code
  • c
  • v
Medium for sound
other
Other physical details
digital, sound, color
Sound
sound
Sound on medium or separate
sound on medium
Specific material designation
  • remote
  • other
Stock number
CL0501000041
Video recording format
other

Subject

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