GitHub / zamaex96 / Hybrid-CNN-LSTM-with-Spatial-Attention

This documents the training and evaluation of a Hybrid CNN-LSTM Attention model for time series classification in a dataset. The model combines convolutional neural networks (CNNs) for feature extraction, long short-term memory (LSTM) networks for sequential modeling, and attention mechanisms to focus on important parts of the sequence.

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PURL: pkg:github/zamaex96/Hybrid-CNN-LSTM-with-Spatial-Attention

Topics: attention, cnn-classification, hybrid, lstm-model, machine-learning

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• Readme
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