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 two-part machine that translates one form ...

Seq2Seq models are a type of neural network architecture specifically designed to process and generate sequences. They consist of two main components: an encoder and a decoder. The encoder takes ...

These models have shown considerable promise in tasks such as promoter prediction, enhancer identification, and gene ...

By taking a pre-impact image sequence as the input, the trained encoder–decoder has successfully generated image sequence that shows the deformation of a drop during the impact, as the output.