If you still want to add a decoder model, you could extend the architecture with a BART or T5 model, both of which are encoder-decoder models. Here’s how you would modify it for a sequence generation ...

Text generation is crucial for many applications in natural language processing. With the prevalence of deep learning, the encoder-decoder architecture is dominantly adopted for this task. Accurately ...

Following a basic encoder-decoder network design, the features are extracted by initializing the encoder with a high-performance pre-trained network and reconstructing high-quality facial depth maps ...

In this article, we are going to see how we can remove noise from the image data using an encoder-decoder model. We will go through two approaches of denoising with encoder-decoder, one with dense ...

This is then passed to the Decoder (called transformer in Module List) and Target (tokens with bos), which returns the Predictions. These Predictions are used to calculate Seq2Seq log-probabilities.