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Thanks for your code. I want to get 4096D feature vectors and train my SVM classifier. But when I ran the code, I always got the softmax results.
(1, 1000)
985
model.layers.pop()
model.layers.pop()
out = model.predict(im)
print out.shape
print np.argmax(out)
It seems that model.layers.pop() did not succeed.
The text was updated successfully, but these errors were encountered:
Hello,
Thanks for your code. I want to get 4096D feature vectors and train my SVM classifier. But when I ran the code, I always got the softmax results.
(1, 1000)
985
model.layers.pop()
model.layers.pop()
out = model.predict(im)
print out.shape
print np.argmax(out)
It seems that model.layers.pop() did not succeed.
The text was updated successfully, but these errors were encountered: