Linkedin Learning – Building Blocks for Deep Learning in the Wolfram Language

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Linkedin Learning – Building Blocks for Deep Learning in the Wolfram Language
English | Tutorial | Size: 120.54 MB


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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