Remove hardcoded values and use train() and evaluate() functions' input parameters#199
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1Nigar357 wants to merge 3 commits intoMITDeepLearning:masterfrom
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Remove hardcoded values and use train() and evaluate() functions' input parameters#1991Nigar357 wants to merge 3 commits intoMITDeepLearning:masterfrom
1Nigar357 wants to merge 3 commits intoMITDeepLearning:masterfrom
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Correction: Make use of input parameters instead of hardcoding
Correction: Manipulate the input parameters to the functions instead of hardcoding
Change the input parameter of the evaluate function from trainset_loader to testset_loader
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This was referenced Jan 9, 2026
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In the train and evaluate functions, the input parameters are not used in any part of the code. Instead, the places where the input parameters need to be used, the values have been hardcoded. Therefore, the user might pass wrong parameters to the function and the code would still function properly. To avoid this, I removed the hardcoded values and made use of the input value for the train and evaluate functions. I made changes to both the MNIST task and solution files.