The Resource Deep learning : moving toward artificial intelligence with neural networks and machine learning, Ben Lorica ... [and four others]
Deep learning : moving toward artificial intelligence with neural networks and machine learning, Ben Lorica ... [and four others]
Resource Information
The item Deep learning : moving toward artificial intelligence with neural networks and machine learning, Ben Lorica ... [and four others] 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 : moving toward artificial intelligence with neural networks and machine learning, Ben Lorica ... [and four others] 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
- "Push the envelope of data science by exploring emerging topics such as neural networks, deep learnin, speech recognition, and visual intelligence with this video collection, taken from the Hardcore Data Science sessions at Strata + Hadoop World conferences in 2014 and 2015. Learn what neural networks are, how they work, and how they helped achieve the recent record-breaking performance on speech recognition and visual object recognition. Tara presents the latest improvements in deep neural networks (DNNs), including alternative architectures such as Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNNs). Look into computer vision technology, including ongoing projects in large-scale object recognition and visual scene story telling from Stanford Vision Lab. Focus on scalable computational tools for large-scale data analysis, statistical signal processing, and machine learning."--Resource description page
- Language
- eng
- Extent
- 1 online resource (1 streaming video file (2 hr., 2 min., 52 sec.))
- Note
-
- Title taken from thumbnail image on resource description page (Safari, viewed July 1, 2015)
- Selections from Strata + Hadoop World
- Label
- Deep learning : moving toward artificial intelligence with neural networks and machine learning
- Title
- Deep learning
- Title remainder
- moving toward artificial intelligence with neural networks and machine learning
- Statement of responsibility
- Ben Lorica ... [and four others]
- Title variation
- Moving toward artificial intelligence with neural networks and machine learning
- Language
- eng
- Summary
- "Push the envelope of data science by exploring emerging topics such as neural networks, deep learnin, speech recognition, and visual intelligence with this video collection, taken from the Hardcore Data Science sessions at Strata + Hadoop World conferences in 2014 and 2015. Learn what neural networks are, how they work, and how they helped achieve the recent record-breaking performance on speech recognition and visual object recognition. Tara presents the latest improvements in deep neural networks (DNNs), including alternative architectures such as Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) Recurrent Neural Networks (RNNs). Look into computer vision technology, including ongoing projects in large-scale object recognition and visual scene story telling from Stanford Vision Lab. Focus on scalable computational tools for large-scale data analysis, statistical signal processing, and machine learning."--Resource description page
- Cataloging source
- UMI
- Characteristic
- videorecording
- http://library.link/vocab/creatorName
- Lorica, Ben
- LC call number
- TA347.A78
- http://bibfra.me/vocab/relation/on-screenpresenter
- Wemq8oUUwb4
- PerformerNote
- Presenter, Ben Lorica ... [and four others]
- http://library.link/vocab/relatedWorkOrContributorDate
-
- 2014
- 2015
- http://library.link/vocab/relatedWorkOrContributorName
-
- O'Reilly & Associates
- Strata Conference + Hadoop World Conference
- Strata Conference + Hadoop World Conference
- Runtime
- 123
- http://library.link/vocab/subjectName
-
- Artificial intelligence
- Machine learning
- Neural networks (Computer science)
- Technique
- live action
- Label
- Deep learning : moving toward artificial intelligence with neural networks and machine learning, Ben Lorica ... [and four others]
- Note
-
- Title taken from thumbnail image on resource description page (Safari, viewed July 1, 2015)
- Selections from Strata + Hadoop World
- 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
- ocn913535087
- Dimensions
- unknown
- Extent
- 1 online resource (1 streaming video file (2 hr., 2 min., 52 sec.))
- Form of item
- online
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- 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
- CL0500000613
- Video recording format
- other
- Label
- Deep learning : moving toward artificial intelligence with neural networks and machine learning, Ben Lorica ... [and four others]
- Note
-
- Title taken from thumbnail image on resource description page (Safari, viewed July 1, 2015)
- Selections from Strata + Hadoop World
- 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
- ocn913535087
- Dimensions
- unknown
- Extent
- 1 online resource (1 streaming video file (2 hr., 2 min., 52 sec.))
- Form of item
- online
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- 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
- CL0500000613
- 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--moving-toward-artificial/494Q4mA5g0I/" 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--moving-toward-artificial/494Q4mA5g0I/">Deep learning : moving toward artificial intelligence with neural networks and machine learning, Ben Lorica ... [and four others]</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--moving-toward-artificial/494Q4mA5g0I/" 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--moving-toward-artificial/494Q4mA5g0I/">Deep learning : moving toward artificial intelligence with neural networks and machine learning, Ben Lorica ... [and four others]</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>
