- (GRU), for both components. Bahdanau et al. (2015)  successfully applied the attention mechanism into the NMT and proposed attention-based NMT to change the fixed vector c. We can see the general process in the FIGURE I. The left of the dotted line is encoder which converts the source inputs s1,s2,…,sn into a fixed vector .
- We are talking about the "7 Second Hook Formula" to capture your audience's attention and get them to take action in 7 seconds or less. Now that's a huge headline, right ? I'm excited about today's topic because it is super important to be using videos.
- So, it was a local attention mechanism to attend to a learnable window over the data. Then you have Luong and Bahdanau attention, which implemented similar mechanisms, but separate from the network type and as a softmax function. This is essentially single-head attention.
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