The Resource Deep learning architecture for building artificial neural networks, Anshul Srivastav
Deep learning architecture for building artificial neural networks, Anshul Srivastav
Resource Information
The item Deep learning architecture for building artificial neural networks, Anshul Srivastav represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Merrimack Valley Library Consortium.This item is available to borrow from 1 library branch.
Resource Information
The item Deep learning architecture for building artificial neural networks, Anshul Srivastav represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Merrimack Valley Library Consortium.
This item is available to borrow from 1 library branch.
- Summary
- "The course starts off with an introduction to Deep Learning and the different tools, hardware, and software before we begin to understand the different training models. We then get to what everyone is talking about: Neural Networks. Here we understand how Neural Networks work and the benefits they offer for supervised and well as unsupervised learning before building our very own neural network. We will then move on to understanding the different Deep Learning Architectures, including how to set up your architecture and align the output. Finally we take a look at Artificial Neural Networks and understand how to build your own ANN. Taking this course will help you dive head first into the popular field of deep learning as a career choice or for further learning."--Resource description page
- Language
- eng
- Extent
- 1 online resource (1 streaming video file (1 hr., 42 min., 23 sec.))
- Note
-
- Title from title screen (viewed July 23, 2018)
- Date of publication from resource description page
- Label
- Deep learning architecture for building artificial neural networks
- Title
- Deep learning architecture for building artificial neural networks
- Statement of responsibility
- Anshul Srivastav
- Language
- eng
- Summary
- "The course starts off with an introduction to Deep Learning and the different tools, hardware, and software before we begin to understand the different training models. We then get to what everyone is talking about: Neural Networks. Here we understand how Neural Networks work and the benefits they offer for supervised and well as unsupervised learning before building our very own neural network. We will then move on to understanding the different Deep Learning Architectures, including how to set up your architecture and align the output. Finally we take a look at Artificial Neural Networks and understand how to build your own ANN. Taking this course will help you dive head first into the popular field of deep learning as a career choice or for further learning."--Resource description page
- Cataloging source
- UMI
- Characteristic
- videorecording
- http://library.link/vocab/creatorName
- Srivastav, Anshul
- LC call number
- QA76.87
- PerformerNote
- Presenter, Anshul Srivastav
- Runtime
- 103
- http://library.link/vocab/subjectName
-
- Neural networks (Computer science)
- Machine learning
- Artificial intelligence
- Technique
- live action
- Label
- Deep learning architecture for building artificial neural networks, Anshul Srivastav
- Note
-
- Title from title screen (viewed July 23, 2018)
- Date of publication from resource description page
- 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
- on1046057449
- Dimensions
- unknown
- Extent
- 1 online resource (1 streaming video file (1 hr., 42 min., 23 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
- CL0500000981
- Video recording format
- other
- Label
- Deep learning architecture for building artificial neural networks, Anshul Srivastav
- Note
-
- Title from title screen (viewed July 23, 2018)
- Date of publication from resource description page
- 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
- on1046057449
- Dimensions
- unknown
- Extent
- 1 online resource (1 streaming video file (1 hr., 42 min., 23 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
- CL0500000981
- Video recording format
- other
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.mvlc.org/portal/Deep-learning-architecture-for-building/rKSBsv2nfo8/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/portal/Deep-learning-architecture-for-building/rKSBsv2nfo8/">Deep learning architecture for building artificial neural networks, Anshul Srivastav</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.mvlc.org/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.mvlc.org/">Merrimack Valley Library Consortium</a></span></span></span></span></div>
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.mvlc.org/portal/Deep-learning-architecture-for-building/rKSBsv2nfo8/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/portal/Deep-learning-architecture-for-building/rKSBsv2nfo8/">Deep learning architecture for building artificial neural networks, Anshul Srivastav</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.mvlc.org/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.mvlc.org/">Merrimack Valley Library Consortium</a></span></span></span></span></div>
