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shayaf84/compGradient.py

Last active November 20, 2021 16:08
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compGradient.py
def gradient(images, targetClassindex):
#Computes gradient of probabilities with respect to images
with tf.GradientTape() as gradRecord:
gradRecord.watch(images)
logits = vgg(images)
probs = tf.nn.softmax(logits, axis=-1)[:, targetClassindex]
return gradRecord.gradient(probs, images)
computedGradients = gradient(interpolatedImages,684)
#ImageNet Index for Oboe is 683, so add 1 to receive the value to stop at.
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