Neural Networks and Convolutional Neural Networks Essential Training.
(Online Course)
Author
Contributors
Published
Carpenteria, CA linkedin.com, 2018.
Format
Online Course
Status
Description
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Language
English
Notes
General Note
5/04/201812:00:00AM
Participants/Performers
Presenter: Jonathan Fernandes
Description
Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning.
Description
Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning. In this hands-on course, instructor Jonathan Fernandes covers fundamental neural and convolutional neural network concepts. Jonathan begins by providing an introduction to the components of neural networks, discussing activation functions and backpropagation. He then looks at convolutional neural networks, explaining why they're particularly good at image recognition tasks. He also steps through how to build a neural network model using Keras. Plus, learn about VGG16, the history of the ImageNet challenge, and more.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Fernandes, J. (2018). Neural Networks and Convolutional Neural Networks Essential Training . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Fernandes, Jonathan. 2018. Neural Networks and Convolutional Neural Networks Essential Training. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Fernandes, Jonathan. Neural Networks and Convolutional Neural Networks Essential Training linkedin.com, 2018.
MLA Citation, 9th Edition (style guide)Fernandes, Jonathan. Neural Networks and Convolutional Neural Networks Essential Training linkedin.com, 2018.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.