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GitHub3mon
ImageText-GRU: Deep Learning Architecture for Multimodal Classification and Caption Synthesis
ImageText-GRU is a novel deep learning architecture designed for multimodal learning tasks ... Run the notebook to preprocess data, train the model, and evaluate results.
IEEE3y
GRU Based Deep Learning Model for Prognosis Prediction of Disease Progression
Generally deep learning is the state of art for learning the multiple representation of neuron. Discriminant DL model includes different architecture and initial ... and Gated Recurrent Unit (GRU) is ...
IEEE8mon
Deep Learning for Intelligent Customer Service Automation: Development of GRU, LSTM, and Recurrent Neural Network Architectures for Chatbot Applications
The study leverages deep learning frameworks to train an ... converted for neural network processing. The Seq2Seq model combined with the Attention mechanism was utilised, comparing RNN, LSTM, and GRU ...