Keras implementation of class activation mapping
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Updated
Aug 5, 2017 - Python
Keras implementation of class activation mapping
Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.
Attribution (or visual explanation) methods for understanding video classification networks. Demo codes for WACV2021 paper: Towards Visually Explaining Video Understanding Networks with Perturbation.
📉 Visualize your Deep Learning training in static graphics
FitsBook Python Library. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras Framework.
An abstract deep learning training framework.
MNIST classifier with a graphical user interface and a canvas for drawing the digits, doing classifying in real time
Keras implementation of class activation mapping
Neural network visualization toolkit for keras
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