Problem in: Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep learning - Week 3: Improve MNIST with Convolutions

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C1W3_Assignment.ipynb|attachment](upload://tCUqPQmzBMFUnxVAneHzhRWIpmY.ipynb) (24.4 KB)
I am enrolled in the course Introduction to Tensorflow for AI, Machine learning and Deeplearning. I have completed all my assignments and got stuck with Week 3 Assignment. The data set given is mnist.npz. I am getting below error
—> 16 history = model.fit(training_images, training_labels, epochs=10, callbacks=[callbacks])

AttributeError: ‘function’ object has no attribute ‘fit’
AttributeError: ‘function’ object has no attribute ‘count_params’

As per my understanding, this error is had occurred since the model here is defined as a function and ‘fit’ and ‘count_params’ are not an attribute of a function

can you please help me with this. If I submit the assignment with this error it shows fail.
Please help
{Assignment notebook removed by moderator}

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Can anyone help me with above problem. I have completed 99% of the course and struck with this one

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@SwapnaS

Kindly create a new topic thread with your relevant issue and screenshot of the error encountered.

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Regards
DP