The Resource Getting started with TensorFlow for deep learning, Tom Joy
Getting started with TensorFlow for deep learning, Tom Joy
Resource Information
The item Getting started with TensorFlow for deep learning, Tom Joy 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 Getting started with TensorFlow for deep learning, Tom Joy 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
- "We will not only get you up-and-running with deep learning, but also equip you with the skills to implement your own neural networks and apply them to the real world. We will use TensorFlow, an efficient Python library used to create and train our neural networks. You'll learn the skills to implement their architecture quickly and efficiently without having to deal with minutiae. You can rely on our expert guidance while learning the basic theory, backed up with relevant examples. We provide examples of neural networks, which you can use to highlight the key features. We then build up to more advanced networks. You'll learn to utilize a Convolutional Neural Network to classify images of handwritten text and then take your CNN further to perform object detection and localization in an image. This course will quickly get you past the fundamentals of TensorFlow; you'll go on to more exciting things such as implementing a variety of image recognition tasks."--Resource description page
- Language
- eng
- Extent
- 1 online resource (1 streaming video file (2 hr., 45 min., 12 sec.))
- Note
- Title from resource description page (Safari, viewed January 28, 2019)
- Label
- Getting started with TensorFlow for deep learning
- Title
- Getting started with TensorFlow for deep learning
- Statement of responsibility
- Tom Joy
- Language
- eng
- Summary
- "We will not only get you up-and-running with deep learning, but also equip you with the skills to implement your own neural networks and apply them to the real world. We will use TensorFlow, an efficient Python library used to create and train our neural networks. You'll learn the skills to implement their architecture quickly and efficiently without having to deal with minutiae. You can rely on our expert guidance while learning the basic theory, backed up with relevant examples. We provide examples of neural networks, which you can use to highlight the key features. We then build up to more advanced networks. You'll learn to utilize a Convolutional Neural Network to classify images of handwritten text and then take your CNN further to perform object detection and localization in an image. This course will quickly get you past the fundamentals of TensorFlow; you'll go on to more exciting things such as implementing a variety of image recognition tasks."--Resource description page
- Cataloging source
- UMI
- Characteristic
- videorecording
- http://library.link/vocab/creatorName
- Joy, Tom
- LC call number
- Q325.5
- PerformerNote
- Presenter, Tom Joy
- Runtime
- 166
- http://library.link/vocab/subjectName
-
- Machine learning
- Neural networks (Computer science)
- Artificial intelligence
- Technique
- live action
- Label
- Getting started with TensorFlow for deep learning, Tom Joy
- Note
- Title from resource description page (Safari, viewed January 28, 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
- on1083721681
- Dimensions
- unknown
- Extent
- 1 online resource (1 streaming video file (2 hr., 45 min., 12 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
- CL0501000021
- Video recording format
- other
- Label
- Getting started with TensorFlow for deep learning, Tom Joy
- Note
- Title from resource description page (Safari, viewed January 28, 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
- on1083721681
- Dimensions
- unknown
- Extent
- 1 online resource (1 streaming video file (2 hr., 45 min., 12 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
- CL0501000021
- 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/Getting-started-with-TensorFlow-for-deep/BSbCqmsr5Ls/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/portal/Getting-started-with-TensorFlow-for-deep/BSbCqmsr5Ls/">Getting started with TensorFlow for deep learning, Tom Joy</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/Getting-started-with-TensorFlow-for-deep/BSbCqmsr5Ls/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/portal/Getting-started-with-TensorFlow-for-deep/BSbCqmsr5Ls/">Getting started with TensorFlow for deep learning, Tom Joy</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>
