GitHub / daniel-rychlewski / Cao-Keras-Visualization
Neural network visualization tool after an optional model compression with parameter pruning: (integrated) gradients, guided/visual backpropagation, activation maps for the cao model on the IndianPines dataset
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PURL: pkg:github/daniel-rychlewski/Cao-Keras-Visualization
Stars: 7
Forks: 3
Open issues: 0
License: None
Language: Python
Size: 39 MB
Dependencies parsed at: Pending
Created at: over 5 years ago
Updated at: almost 2 years ago
Pushed at: over 5 years ago
Last synced at: almost 2 years ago
Topics: activation-maps, backpropagation, band-selection, cao, convolutional-neural-networks, deep-visualization, deep-viz, gradients, guided-backpropagation, hyperspectral-image-classification, hyperspectral-imaging, indianpines, integrated-gradients, keras, keras-vis, neural-network, python, saliency-maps, tensorflow, visual-backpropagation