If they are very long, you might need a more complex encoder-decoder architecture that can handle the long-term dependencies and avoid information loss. For example, you might use an attention ...

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 ...

Neural Machine Translation using LSTMs and Attention mechanism. Two approaches were implemented, models, one without out attention using repeat vector, and the other using encoder decoder architecture ...

Two of the main families of neural network architecture are encoder-decoder architecture and the Generative Adversarial Network (GAN). In 2015, Sequence to Sequence Learning with Neural Network became ...

Additionally, the training process lacks labelled video data. To enhance the precision of the performance we have used encoder decoder architecture for semantic segmentation where VGGNet (VGG16 and ...

They also note that the attention-only architectures examined are akin to transformers, suggesting a similar dynamical behaviour may also hold for that popular non-recurrent architecture. The paper ...

Abstract: Electrocardiography(ECG) is a procedure to record the electrical activity of the human heart. The recorded time series ECG signal are often used by medical professionals to detect any ...

This Project is based on multilingual Translation by using the Transformer with an encoder-decoder architecture along with the multi-head self-attention layers with the positional encoding and ...