Writing code CNN in Pytorch for classification images
Budget: $10 – $11 USD
I need to build code CNN in Python by Pytoch using Google Colab for classification images
the dataset is ready to use and was divided into train and test folders and I also give the augmentation data code to use in code.
the requirements are:
build good CNN achieved better results >= 80-75
apply k-fold cross-validation in the training
get the result of ( confusion matrix, accuracy, balanced accuracy, recall, specificity, AUC, and precision ) for each train and test and for each class.
also, I need to determine which class achieved better results.
thank you
the dataset is ready to use and was divided into train and test folders and I also give the augmentation data code to use in code.
the requirements are:
build good CNN achieved better results >= 80-75
apply k-fold cross-validation in the training
get the result of ( confusion matrix, accuracy, balanced accuracy, recall, specificity, AUC, and precision ) for each train and test and for each class.
also, I need to determine which class achieved better results.
thank you