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Implementation from scratch of a CNN-LSTM network for language models. Useful features are extracted from the CNN layer below and then feed up to the LSTM layer which forms a sequential context for the prediction.

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CNN_LSTM_language_model

Implementation from scratch of a CNN-LSTM network for language models. Useful features are extracted from the CNN layer below and then feed up to the LSTM layer which forms a sequential context for the prediction.

To run the model, execute main_cnn_lstm.m, and feel free to tune the hyper parameters to see how the performance varies accordingly.

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Implementation from scratch of a CNN-LSTM network for language models. Useful features are extracted from the CNN layer below and then feed up to the LSTM layer which forms a sequential context for the prediction.

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