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</html><description>Description: Input encoding is a fundamental process in the realm of recurrent neural networks (RNNs), referring to the transformation of input data into a format suitable for processing. This method is crucial for the RNN to interpret and learn from sequences of data, such as text, audio, or time series. Input encoding allows the neural [&hellip;]</description></oembed>
