Building Blocks for Deep Learning in the Wolfram Language
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Wolfram Research
54:21
21 View
01 - Building and training basic neural networks.mp4
27:28
01 - Recurrent neural networks.mp4
26:53
Description
This course explores how to construct neural networks in the Wolfram Language. The Wolfram Language neural network framework provides symbolic building blocks to build, train, and tune a network, as well as automatically process input and output using encoders and decoders. Discover how to build feed-forward networks, and learn about recurrent neural nets and why they are interesting.
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Wolfram Research
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Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 2
- duration 54:21
- English subtitles has
- Release Date 2024/03/19
