Comments (2)
quantum_circuit_simulator.py
is needed to run other notebooks such as
Image_classification_with_QNN.ipynb
on top of that, you need libraries such as
numpy, matplotlib, and torch
I hope that is helpful for you.
from image_classification_with_cnn_and_qnn.
@ArunSehrawat thank you , i got it
but i run training and got this results
image size 8
train accuracy: 0.742, train loss: 0.572
test accuracy: 0.623, test loss: 0.706
image size 32
train accuracy: 0.742, train loss: 0.573
test accuracy: 0.623, test loss: 0.682
and this happened with many dataset, and many different image size from 4 to 64
and other this < is the code consider QNN or HQNN
from image_classification_with_cnn_and_qnn.
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from image_classification_with_cnn_and_qnn.