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Building and Training Basic Neural Networks

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. Learn how to do this in steps, along with examples of logistic regression and basic image recognition.

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Learn about access to external data from the Wolfram Language. Presentation topics include new built-in support for Wikidata, the Wolfram framework for relational database connectivity and the latest developments for ...
Brett Champion, Visualization Manager, and MinHsuan Peng, Visualization Developer, cover general improvements to visualization in Version 12.1, new vector plots and recent additions to visualization for complex valued functions and fields.
Abrita Chakravarty
Abrita Chakravarty
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