lxgen

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is there a better way to add SCCONV in resnet18

![Snipaste_2021-09-09_11-20-36](https://user-images.githubusercontent.com/18264666/132617695-69f1b046-0fba-4a44-93ee-875498c84798.png) ![Snipaste_2021-09-09_11-21-38](https://user-images.githubusercontent.com/18264666/132617707-bfbb40ea-abad-4a67-95b4-cfc091d2c659.png)

ValueError: Shapes are not compatible when training transition model after autoencoder trained

Have you solved the problem? I have the same problem as you.

ValueError: Shapes are not compatible when training transition model after autoencoder trained

I have solved the problem by changing the Keras version from 1.0.8 to 1.0.6.