Connection between RNN and Encoder-Decoder: Sequential Processing: Both the encoder and decoder in the Encoder-Decoder architecture are typically implemented using RNNs (or it's variants like LSTM or ...

Recurrent Neural Network (RNN) Model: Creates an encoder-decoder architecture using GRU layers. The encoder processes the input text and generates a context vector. The decoder generates the output ...

A background subtraction algorithm using an encoder-decoder structured convolutional neural network is proposed in this work, in order to segment out moving objects from the background. A target frame ...

Iris-sclera biometry is one of the features that yields high accuracy in user recognition and liveness detection systems. In this study, segmentation processes the first stage of an iris-sclera user ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, ... They use a dense feedforward network as a sub-neural net inside the encoder and decoder components.