sunsided/tensorflow-lstm-sin
TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
This project offers examples for forecasting future values in time-series data, specifically focusing on oscillating patterns like sine waves. You input a sequence of past data points, and it predicts the subsequent values. It's designed for researchers or engineers working with signal processing or predictive modeling of cyclical data.
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Use this if you need to understand how recurrent neural networks, specifically LSTMs and GRUs, can be configured and trained for predicting future points in oscillating time-series data.
Not ideal if your data does not exhibit periodic or cyclical patterns, or if you require an out-of-the-box solution without deep dives into neural network architectures.
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Python
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Sep 24, 2017
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