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CNN-BloodMNIST

Training a CNN on the BloodMNIST dataset for effective categorisation of bloodcell types

Highest achieved accuracy so far on validation set with small cpu-trainable model: 95%

Target (literature documented transfer-learning result): 98%

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Training a CNN on the BloodMNIST dataset for effective categorisation of bloodcell types

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