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This section shows examples of working with neural networks in the PuzzleLib. The list of training materials is as follows:

  1. Getting started

    1. PuzzleLib in a nutshell
    2. What is the theory behind - automatic differentiation
    3. Training the MNIST classifier
    4. Pausing and resuming network training
    5. Network optimization
  2. Application areas

    1. Computer vision
    2. Speech processing
  3. Additional options

    1. Interaction with other frameworks
    2. Contents of the PuzzleLib module on the example of a linear layer
    3. Use of different backends
    4. Parallelize your computing