https://www.linkedin.com/learning/building-blocks-for-deep-learning-in-the-wolfram-language
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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