使用LSTM处理回归问题，每个输入特征的时间窗维度不一样，因此，也可以看作利用了多个LSTM特征提取器。When LSTM is used to deal with regression problems, the time window dimension of each input feature is different. Therefore, it can also be regarded as using multiple LSTM feature extractors.

Keras LSTM model to categorize Arabic and Egyptian Arabic comments from different social networking sites into positive or negative, it also support incremental feedback-based learning.

Hand gesture classification by optomyographical sensor signals

R package consisting of functions and tools to facilitate the use of traditional time series and machine learning models to generate forecasts on univariate or multvariate data. Different backtesting scenarios are available to identify the best performing models.

Writes a poem based on a submitted image

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Using Keras LSTM in Java

Using Keras LSTM components, try word embedding.