In machine learning, we have seen various kinds of neural networks and encoder-decoder models are also a type of neural network in which recurrent neural networks are used to make the prediction on ...

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 ...

In this paper, we introduce the world’s first 8K 120-Hz video real-time encoder and decoder that complies with ARIB STD-B32 1) . We evaluated the coding efficiency and demonstrated that 8K 120-Hz ...

Abstract: Spatial information is crucial in deep spectral–spatial hyperspectral image (HSI) classification methods. Spatial features can be divided into central features and surrounding features, ...

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 ...

An Encoder-Decoder model is a fundamental architecture in the field of deep learning and natural language processing (NLP). It's widely used for a variety of tasks, including machine translation, text ...

I implement encoder-decoder based seq2seq models with attention. The encoder can be a Bidirectional LSTM, a simple LSTM or a GRU, and the decoder can be an LSTM, or a GRU. I have a argument for ...