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yh08037 · Feb 19, 2021 · a6678d4 · a6678d4
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diff --git a/README.md b/README.md
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 # quantum-neural-network
 Qiskit Hackathon Korea 2021 : Hybrid quantum-classical Neural Networks with PyTorch and Qiskit
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+![](images/hybrid.png)
diff --git a/images/hybrid.png b/images/hybrid.png
diff --git a/images/model1.png b/images/model1.png
diff --git a/images/model2.png b/images/model2.png
diff --git a/model1-fc/README.md b/model1-fc/README.md
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 # 1. CNN with Quantum Fully Connected Layer
 Build MNIST multi-label classifiers using classical convolution layers and quantum fully-connected layers.
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+![](../images/model1.png)
diff --git a/model2-conv/README.md b/model2-conv/README.md
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 # 2. CNN with Quantum Convolution Layer
-Build MNIST multi-label classifiers using quantum convolution layers and classical fully-connected layers.
+Build MNIST multi-label classifiers using quantum convolution layers and classical fully-connected layers.
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+![](../images/model2.png)