Share your thoughts, 1 month free Claude Pro on us
See more
Home
/
Benchmarks
Image Classification on MNIST S=600 (train)
Loading...
88.44
Best Accuracy
Proposed (I)
87.3584
87.6392
87.92
88.2008
Feb 8, 2025
Best Accuracy
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Best Accuracy
Accuracy
Proposed (I)
Type=I
2025.02
88.44
86.98
Random layer insertion (I)
Type=I
2025.02
88
86.78
NAS
2025.02
88
-
Baseline network
2025.02
87.81
86.78
Forward Thinking
2025.02
87.66
86.6
Net2DeeperNet (II)
Type=II
2025.02
87.64
86.76
Proposed (II)
Type=II
2025.02
87.4
86.52
Feedback
Search any
task
Search any
task