W3 How to use resize and add a new dimension to the training data

Course Q&A TensorFlow Developer Professional Introduction to TF for Artificial Intelligence ...
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Continuing the discussion from C1 W3 Adding a dimension to training_data:

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My code in the other post is an example of how to add an extra dimension to an ndarray. You’ll have to adapt that example to code the function reshape_and_normalize. For starters, use the images array in the function parameter instead of creating a random array of shape (3, 4)

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Sure sir. Can u give any material as to how to do this pls. I dont think it was mentioned in course material

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Please read the markdown cell above the function reshape_and_normalize. Details for coding the function are provided there.

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coursera.org-ImproveMNISTwithconvolutionsCoursera (2)
coursera.org-ImproveMNISTwithconvolutionsCoursera (2)1898×820 86.7 KB

Thanks. I tried that. but still i am not getting the expected output. pls help

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reshape operation creates a new ndarray. So, you should assign the result back to images to get a reference to the transformed ndarray.

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Ah! I get it. Thanks a lot.

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Thank u so much sir. I will definitely try and let u know

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Got it. Thanks again for the support sir