Research Article
Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning
Table 2
Summary of errors (in %) of the best 20 GA and GE individuals after full training in MNIST.
Source: Baldominos et al. [
3].
| ā | GA | GE | # | Mean | Best | Mean | Best |
| 1 | 0.5130 | 0.41 | 0.4680 | 0.41 | 2 | 0.5380 | 0.49 | 0.4765 | 0.42 | 3 | 0.5485 | 0.49 | 0.5310 | 0.47 | 4 | 0.5875 | 0.50 | 0.4300 | 0.37 | 5 | 0.6115 | 0.46 | 0.5545 | 0.47 | 6 | 0.5010 | 0.45 | 0.5265 | 0.42 | 7 | 0.5760 | 0.50 | 0.4615 | 0.40 | 8 | 0.6085 | 0.53 | 0.5830 | 0.50 | 9 | 0.4795 | 0.40 | 0.5530 | 0.48 | 10 | 0.6090 | 0.57 | 0.5330 | 0.48 | 11 | 0.5600 | 0.49 | 0.4985 | 0.44 | 12 | 0.5850 | 0.54 | 0.4815 | 0.42 | 13 | 0.7095 | 0.60 | 0.5090 | 0.42 | 14 | 0.6045 | 0.54 | 0.5680 | 0.50 | 15 | 0.5780 | 0.47 | 0.5095 | 0.48 | 16 | 0.6265 | 0.51 | 0.5245 | 0.45 | 17 | 0.6010 | 0.51 | 0.5525 | 0.48 | 18 | 0.6815 | 0.62 | 0.6015 | 0.52 | 19 | 0.4805 | 0.40 | 0.5100 | 0.46 | 20 | 0.5930 | 0.52 | 0.5525 | 0.48 |
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