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Video instruction explores how to construct neural networks in Wolfram Language for use in artificial intelligence. Covers building feed-forward and recurrent neural networks from basic components.
Course Overview
This video 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. You'll learn how to build feed-forward networks and about recurrent neural nets and why they are interesting.Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)
Video Duration
Video 128 minutes
Video 227 minutes
Course Overview
This video 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. You'll learn how to build feed-forward networks and about recurrent neural nets and why they are interesting.Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)
Video Duration
Video 128 minutes
Video 227 minutes
