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Video Class

Building and Training Basic Neural Networks

Level: IntermediateVideo: 28 min Download Presentation Notebook

Summary

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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You'll Learn To

  • Convert different data types to tensors
  • Use class encoders and decoders
  • Work with different types of layers and connect the layers
  • Specify loss layers
  • Perform logistic classification using real-world data
  • Train convolutional neural networks
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