It would be a bad idea to use one-hot encoding where each input word is encoded as 19,999 zero-values and 1 one-value. For these types of NLP problems you should use what is called a word embedding, ...
What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...
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