As we encounter advanced technologies like ChatGPT and BERT daily, it’s intriguing to delve into the core technology driving them – transformers. This article aims to simplify transformers ...

Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture to create end-to-end object detection AI, an approach they claim streamlines the creation of ...

In hybrid recurrent neural network architecture, the input data is first subjected to feature extraction by CNN, then temporal modeling by recurrent layer, and then mapping the features to the ...

We summarize the applications of different bioinformatics databases and various models based on deep learning architectures (CNN, RNN, Transformer, etc.) in this field, which may provide ...