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Visualizing filters by finding images that maximize their outputs

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Traceback (most recent call last): File "viz.py", line 118, in vizualizations[i] = visualize_filter(init_img, index, input_placeholder, args.iterations) File "viz.py", line 55, in visualize_filter grads = normalize(grads) File "/Visual/visual/utils.py", line 47, in...

Modified to keras 2.0 and add the tensorflow backend

Hello, I tried to run the sample viz.py code with Theano as backend and got the error message as ``` Using Theano backend. Namespace(img=None, iterations=5, layer='conv5_1', num_filters=16, size=128, weights_path='../vgg16_weights.h5') Traceback...