no code implementations • 7 Dec 2022 • Ambrogio Maria Bernardelli, Stefano Gualandi, Hoong Chuin Lau, Simone Milanesi
While the previous approaches achieve an average accuracy of 51. 1% on the MNIST dataset, the BeMi ensemble achieves an average accuracy of 61. 7% when trained with 10 images per class and 76. 4% when trained with 40 images per class.