cnn-gru-attention

CNN-GRU-Attention is a deep learning model for natural language processing tasks, such as text classification or sentiment analysis. It combines three neural network layers: a convolutional neural network (CNN), a gated recurrent unit (GRU) layer, and an attention mechanism.

The CNN layer is responsible for extracting important features from the input text, such as n-grams or word embeddings. The GRU layer then processes the extracted features sequentially, capturing the contextual relationships between them. Finally, the attention mechanism allows the model to focus on the most relevant parts of the input text, improving its accuracy and interpretability.

Overall, the CNN-GRU-Attention model is a powerful and flexible tool for processing natural language data, with many potential applications in fields such as marketing, customer service, or social media analysis.