Residual-networks Wrong values when training=True

This is my code:

This is the error:

where am i making the mistake? looks fairly straight forward

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Try specifying the kernel size in all of the Conv2D() layers.

Your shortcut path is missing the “training=training” argument in batch normalization.

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that was ignorant of me, thank you. did the trick