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Please show us the full exception trace that includes the error you are showing in the title. It is a bit hard to believe that you could get that error and still get 100% on the assignment.

<a name="p-801498-thanks-for-your-response-is-there-a-way-to-reset-the-file-and-start-again-i-also-agree-that-this-is-weird-as-everyone-would-have-the-same-issue-and-could-not-find-anything-i-think-i-am-missing-the-piece-of-code-that-spreads-de-1-mask-into-23-complete-trace-as-requested-tensorspecshape96-128-3-dtypetffloat32-namenone-tensorspecshape96-128-1-dtypetfuint8-namenone-epoch-15-1" class="anchor" href="#p-801498-thanks-for-your-response-is-there-a-way-to-reset-the-file-and-start-again-i-also-agree-that-this-is-weird-as-everyone-would-have-the-same-issue-and-could-not-find-anything-i-think-i-am-missing-the-piece-of-code-that-spreads-de-1-mask-into-23-complete-trace-as-requested-tensorspecshape96-128-3-dtypetffloat32-namenone-tensorspecshape96-128-1-dtypetfuint8-namenone-epoch-15-1" aria-label="Heading link"> Thanks for your response. Is there a way to reset the file and start again? I also agree that this is weird, as everyone would have the same issue and could not find anything. I think I am missing the piece of code that spreads de (:,:,1) mask into (:,:,23). —Complete Trace as requested---- (Te…

Can you please share your training code as well so that it can be correlated to error logs to point out the issue?

Please remember that the Course Honor Code does not allow public sharing of solution code for the assignments. If the mentors need to see your code in order to find a problem, there are private ways to do that using DM (Direct Message) threads.

[image] Jose_Campins: Thanks for your response. Is there a way to reset the file and start again? Yes, there is a topic about that on the DLS FAQ Thread (the first topic on the list).

[image] Jose_Campins: I do not see where the mask image (96,128,1) is split into one channel for each class That happens in the last Conv2D layer of your overall U-net model. If you look at the summary of that model, then the output shape should look like this: conv2d_47 (Conv2D) …

Hi, I really appreciate your help. I got a fresh copy and it runs. I found a couple of cells after the assignment sections missing compared to the freshly downloaded version _v2 (following paulinpaloalto guidance). I still do not understand how we can do the backwards propagation when the model …

The training data has the output y values in “categorical” form, meaning a single number from 0 to 22 to represent the 23 classes. When you have softmax output, it gives you 23 separate values that are the probabilities of each class being the prediction for a given pixel. To compute the loss, you e…

When you store the label values, it makes sense to save space and keep them in categorical form. Image segmentation is an extreme case, of course, since you have a label value for every single pixel in the input images. It’s easy to convert “on the fly” to one hot form when you are running the train…

Week 3 - UNET_V4 - Training Error - "Shapes (None, 96, 128, 1) and (None, 96, 128, 23) are incompatible"

Course Q&A Deep Learning Specialization Convolutional Neural Networks

paulinpaloalto February 2, 2024, 3:21pm 6

Yes, there is a topic about that on the DLS FAQ Thread (the first topic on the list).

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Week 3 - UNET_V4 - Training Error - "Shapes (None, 96, 128, 1) and (None, 96, 128, 23) are incompatible"

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