Transformers are very powerful, and also very complex. They use a dense feedforward network as a sub-neural net inside the encoder and decoder components. They also demand considerable computing ...

Recurrent Neural Network Decoder. As a decoder, we use the gated recurrent unit (GRU), ... Singha M, Srivastava G, Pu L, Ramanujam J and Brylinski M (2022) Pocket2Drug: An Encoder-Decoder Deep Neural ...

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder ...

This post describes how to implement a Recurrent Neural Network (RNN) encoder-decoder for time series prediction using Keras. I will focus on the practical aspects of the implementation, rather than ...

DaySequerra has begun shipping its next-generation 7.1 DTS Neural Surround audio encoder–decoder, what the company says is the industry’s first 7.1 and 5.1 surround audio over stereo transport ...