**i download the model as keras but every time i upload it it (**Your model could not be loaded. Make sure it is a valid keras file, if this is the case please let us know). .i tried to reduce file size and still have same problem.
Any other errors from the submission, send me that file in a provate message I will try from my side too!
As far as I can see from your code, in the encoder_layers(inputs, latent_dim) function, you are not following the instructions; you have 2-128 conv2d layers up to the final dense layer of 1024.
The same here decoder_layers(inputs, conv_shape) in the first dense layer, you need 1024 units, not units from the inputs.
And these probably inflate the size of your model, that’s why you’re getting this large size.
Go back and check the solution thoroughly again!
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What is the maximum allowable model size in megabytes or trained parameters to avoid this error? Thanks in advance.
I think it’s around 20, maybe 30mb, but less than 50mb from what I have seen in other posts!
An average ssim of at least 0.6 is required to pass this assignment. Please tell me, if the model is not accurate enough, will this reason be indicated in the result? Experimenting with the model, I used up my free GPU limit. Now I tried to download a model for testing that weighs 20 megabytes, but was trained for one epoch and got the same error: “Your model could not be loaded. Make sure it is a valid keras file, if this is the case please let us know.”
Before that I tried to download other models that weighed 30 and 40 megabytes and got the same error. Maybe the reason is in the accuracy, not in the size? Can you confirm (verify) that with insufficient accuracy there will be a different error than the one I get now?
I made a 2mb VAE model and it crashes with the same error. The problem is not in the size. I tried to load a regular untrained autoencoder and got a message that the accuracy is insufficient, not a loading error. I think the problem is in the custom layers. Please check Programming Assignment estimator
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You could be right, I havent analyzed that aspect yet. The errors I have been dealing with here are mostly because of over-engineered model, more than needed, adding to larger model size!
I want to add here also that if you dont reach the required accuracy of course the assignment will fail!
Hi! Can you send your latest notebook to me via direct message? You can click my name then the blue Message button. Thank you.
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Hi. There is a compatibility issue with the Keras version that Colab recently updated to. It results in this error message when the grader tries to load your model:
Your model could not be loaded. Make sure it is a valid .keras file
The affected assignments are:
- C3W1
- C3W3
- C4W2
- C4W3
These notebooks have now been updated to rollback the Keras version. You can reopen them from the classroom. If you don’t want to rewrite your solution, you can simply add this to your old notebook (in the pip install cell before the imports):
!pip install keras==3.9.0
We’ll check if there are also effects on the other assignments this coming week.
Hope this helps!
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Hi. The answer above is for the initial post in this thread. We’ll look into your issue next. Thanks.
Hello again. I ran your notebook (sent via DM) and the grader gave me the perfect score.
Just to make sure, you can revise the pip install cell to this and re-run the entire notebook:
# IMPORTANT: Install grader-compatible versions of these packages.
# You can safely ignore dependency conflicts in the output.
!pip install keras==3.9.0
!pip install tensorflow==2.18
!pip install tf-keras==2.18
!pip install ml-dtypes==0.5.1
Another thing I can think of is you might have been inadvertently submitting an old model to the grader. Make sure to download the latest one you generated and it should give you the same result.
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Thank you!
My colab had only these packages
!pip install tensorflow==2.18
!pip install tf-keras==2.18
!pip install ml-dtypes==0.5.1
After adding !pip install keras==3.9.0 the grader was able to download the model
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