Moku API

# Examples for Neural Network

Here are some examples for how the Moku Neural Network can be used:

  • Autoencoder: Useful for a number of tasks such as denoising, feature extraction, data compression and anomaly detection.
  • Signal Classification: Helps in identifying patterns in noisy signals, making real-time data processing more accurate and reliable.
  • Quantum emitter: Improved control scheme for pumping a quantum emitter.
  • Signal Identification: Analyze a time series input and identify the signal shape.
  • Simple Sine wave: A basic model to output a sine wave as a function of the input voltage on a given channel.
  • Weighed Sum: Output a weighted sum of the input channels with an optional bias/offset.

Examples are also available on GitHub (opens new window).

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