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 seties 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 chnnels with an optional bias/offset.

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