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andrewschreiber/vg_p1.py

Last active August 16, 2019 06:15
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def save_vanilla_gradient(network, data, labels), see https://github.com/andrewschreiber/numpy-saliency
Raw
vg_p1.py
# Create a saliency map for each data point
for i, image in enumerate(data):
# Run a forward pass with an image
output = image
for l in range(len(network.layers)):
output = network.layers[l].forward(output)
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