GuPiaoLSTM.zip_insided92_represent966_stock deep learning_股票_股票人

# LSTM Neural Network for Time Series Prediction LSTM built using the Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data. [Full article write-up for this code](http://www.jakob-aungiers.com/articles/a/LSTM-Neural-Network-for-Time-Series-Prediction) [Video on the workings and usage of LSTMs and run-through of this code](https://www.youtube.com/watch?v=2np77NOdnwk) ## Requirements **Update:** As of 08-03-2017 this code has been updated from Python 2.7 to Python 3.5. This is to make it available to run natively on Windows TensorFlow installations ([Tutorial on how to install TensorFlow natively on Windows](http://www.jakob-aungiers.com/articles/a/Installing-TensorFlow-GPU-Natively%C2%A0on-Windows-10)) * Python 3.5 * TensorFlow 1.0 * Numpy 1.12.0 * Keras 1.2.2 * Matplotlib 2.0.0 Output for sin wave sequential prediction:  Output for stock market multiple sequential predictions: