Tutorial
Jul 3, 20268 min read
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Bidirectional RNN — Architecture & Intuition
Every LSTM and GRU covered so far processes a sequence in one direction — left to right, using only what's already been seen. That's the right constraint for ge…
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Every LSTM and GRU covered so far processes a sequence in one direction — left to right, using only what's already been seen. That's the right constraint for ge…
Every architecture covered so far — classification, tagging, even bidirectional context — assumes there's a natural one-to-one or fixed relationship between inp…
The seq2seq architecture from the previous post works — and was a genuine breakthrough for machine translation when it appeared. But it has a specific, well-doc…