@ -89,6 +89,8 @@ and a corresponding vector in numpy.ndarray given a video input data.
- features: a video embedding in shape of (768,) representing features extracted by model.
- features: a video embedding in shape of (768,) representing features extracted by model.
# More Resources
# More Resources
- [Understanding Class Activation Mapping (CAM) in Deep Learning - Zilliz blog](https://zilliz.com/learn/class-activation-mapping-CAM): Class Activation Mapping (CAM) is used to visualize and understand the decision-making of convolutional neural networks (CNNs) for computer vision tasks.
- [Understanding Class Activation Mapping (CAM) in Deep Learning - Zilliz blog](https://zilliz.com/learn/class-activation-mapping-CAM): Class Activation Mapping (CAM) is used to visualize and understand the decision-making of convolutional neural networks (CNNs) for computer vision tasks.