zamaex96 / Hybrid-CNN-LSTM-with-Spatial-AttentionView external linksLinks
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.
☆31Jan 14, 2025Updated last year
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