C2M1 Programming assignment bug? Pass all tests but later unedited code fails

[Deepti_Prasad]

hi @JeffBr

I could only find two issues in your codes as you have written codes exquisitely.

In the flexibleCNN grade function codes, where you are creating a convolution block, for the convolution layer you are suppose to pass the variable name as the key argument for parameters. you did for padding but for kernel_size you didn’t. Same way for batchnormalisation mention the parameter name and then assign the variable name as out channels.

See a similar thread issue

C1M4_Assignment, part 2(exercise 2)

Hi @mt73564 Basically you passed the value instead of assigned local arguments in the given def init statment causing incorrect passing of values when the class CNN block was used to create the Simple CNN Block as in when python libraries are used they are created in a way where parameters are passed through keyword arguments as @paulinpaloalto explained what it cost when using the CNNBlock with positional passing of information. By using the param_name=variable_name syntax (known as a keyword…

Lastly, in the objective function grade function, while transforming to resize the image you are suppose to use params argument just the way you used in flexible cnn model to define the different parameters

notice the hint mentions get the resolution from params, and it mentions two times, so make sure use the params to get the resolution separately two times.