I’m fairly new to this subject and I am working on a project that deals with detecting anomalies in time-series data. I want to use TensorFlow so that I could potentially deploy the model onto a mobile device. I’m having a difficult time finding relevant material and examples of anomaly detection algorithms implemented in TensorFlow.
Some algorithms I’m looking into are clustering algorithms for classifying windowed samples and Holt-Winters for streaming data.
Any example would help me tremendously!