Efficient Neural Vision Systems Based on Convolutional Image Acquisition

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Benchmark Model Rank Results
image-classification-on-emnist-balancedOptConv+Log+Perc–Accuracy: 87.69
image-classification-on-emnist-digitsOptConv+Log+Perc–Accuracy (%): 99.43
image-classification-on-emnist-lettersOptConv+Log+Perc–Accuracy: 93.65

Rank counts only results with a code link.