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Heya,
I'm trying to use the model to perform some image separation using the mnist database.
I literally copy your code and modify some parameters to match with the mnist database, but I get this weird mesage:
If you're wondering, here's how I create the train and test dataset:
Hi Mat, sorry for the very late reply.
Could it be, that you are trying to run unet with an older version of Tensorflow? The stable tf.data.Dataset implementation has the keyword count.
Heya,
I'm trying to use the model to perform some image separation using the mnist database.
I literally copy your code and modify some parameters to match with the mnist database, but I get this weird mesage:
If you're wondering, here's how I create the train and test dataset:
(mnist_x_train, mnist_y_train), (mnist_x_test, mnist_y_test) = mnist.load_data()
Not sure what this is related to, any ideas?
Thanks,
Mat
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