The Resource Keras 2.x projects : 3 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
Keras 2.x projects : 3 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
Resource Information
The item Keras 2.x projects : 3 projects demonstrating faster experimentation of neural network and deep learning applications using Keras 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 Keras 2.x projects : 3 projects demonstrating faster experimentation of neural network and deep learning applications using Keras 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
- "Keras is a Python library that provides a simple and clean way to create a range of deep learning models. This course introduces you to Keras and shows you how to create applications with maximum readability. You take your first steps by getting introduced to Keras, its benefits, and its applications. As you get comfortable with Keras, you will learn how to predict business outcomes using time series data and various forecasting techniques. By learning the basic concepts of reinforcement learning, you will be able to create algorithms that can learn and adapt to environmental changes and control your robots. Then, you will learn various natural language processing techniques and use the Natural Language Toolkit to analyze, classify, and tag text."--Resource description page
- Language
- eng
- Extent
- 1 online resource (1 streaming video file (5 hr., 23 min., 24 sec.))
- Note
-
- Title from title screen (Safari, viewed May 20, 2019)
- Publication information from resource description page (Safari, viewed May 20, 2019)
- Label
- Keras 2.x projects : 3 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
- Title
- Keras 2.x projects
- Title remainder
- 3 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
- Title variation
- Keras two point x projects
- Language
- eng
- Summary
- "Keras is a Python library that provides a simple and clean way to create a range of deep learning models. This course introduces you to Keras and shows you how to create applications with maximum readability. You take your first steps by getting introduced to Keras, its benefits, and its applications. As you get comfortable with Keras, you will learn how to predict business outcomes using time series data and various forecasting techniques. By learning the basic concepts of reinforcement learning, you will be able to create algorithms that can learn and adapt to environmental changes and control your robots. Then, you will learn various natural language processing techniques and use the Natural Language Toolkit to analyze, classify, and tag text."--Resource description page
- Cataloging source
- UMI
- Characteristic
- videorecording
- http://library.link/vocab/creatorName
- Narang, Nimish
- LC call number
- Q325.5
- http://bibfra.me/vocab/relation/on-screenpresenter
- RMUVac-cNHo
- PerformerNote
- Presenter, Nimish Narang
- Runtime
- 324
- http://library.link/vocab/subjectName
-
- Machine learning
- Reinforcement learning
- Neural networks (Computer science)
- Python (Computer program language)
- Technique
- live action
- Label
- Keras 2.x projects : 3 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
- Note
-
- Title from title screen (Safari, viewed May 20, 2019)
- Publication information from resource description page (Safari, viewed May 20, 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
- on1101904006
- Dimensions
- unknown
- Extent
- 1 online resource (1 streaming video file (5 hr., 23 min., 24 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
- CL0501000049
- Video recording format
- other
- Label
- Keras 2.x projects : 3 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
- Note
-
- Title from title screen (Safari, viewed May 20, 2019)
- Publication information from resource description page (Safari, viewed May 20, 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
- on1101904006
- Dimensions
- unknown
- Extent
- 1 online resource (1 streaming video file (5 hr., 23 min., 24 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
- CL0501000049
- Video recording format
- other
Library Links
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<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/Keras-2.x-projects--3-projects-demonstrating/n7u1nnQnOaI/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/portal/Keras-2.x-projects--3-projects-demonstrating/n7u1nnQnOaI/">Keras 2.x projects : 3 projects demonstrating faster experimentation of neural network and deep learning applications using Keras</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>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Item Keras 2.x projects : 3 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
Copy and paste the following RDF/HTML data fragment to cite this resource
<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/Keras-2.x-projects--3-projects-demonstrating/n7u1nnQnOaI/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.mvlc.org/portal/Keras-2.x-projects--3-projects-demonstrating/n7u1nnQnOaI/">Keras 2.x projects : 3 projects demonstrating faster experimentation of neural network and deep learning applications using Keras</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>