We implement a deep fully convolutional encoder-decoder neural network for semantic segmentation. This network architecture makes the segmentation accuracy improve by retaining boundary details in the ...

To remove haze from the hazy remote sensing image, an encoder-decoder based on generative adversarial network is proposed. It first learns the low-frequency information of the image, and then learns ...

Vectorizes text using one-hot encoding, mapping words to numerical representations. Recurrent Neural Network (RNN) Model: Creates an encoder-decoder architecture using GRU layers. The encoder ...

Pocket2Drug has a similar encoder-decoder architecture consisting of an encoder to extract ... achieved by applying a framework similar to the conditional recurrent neural network (cRNN), utilizing ...