Research Article
Improved Arabic Alphabet Characters Classification Using Convolutional Neural Networks (CNN)
Table 4
Experimental results on the Hijja and AHCD through different optimizers algorithms.
| | Algorithm | Accuracy (%) | Precision (%) | Recall (%) | F1 score (%) | | AHCD | Hijja | AHCD | Hijja | AHCD | Hijja | AHCD | Hijja | | Training | Testing | Training | Testing | Training | Testing | Training | Testing | Training | Testing | Training | Testing | Training | Testing | Training | Testing |
| | Adam | 99.76 | 96.66 | 97.60 | 88.46 | 99.76 | 96.75 | 97.40 | 87.98 | 99.76 | 96.67 | 97.60 | 88.46 | 99.76 | 96.67 | 97.60 | 88.47 | | SGD | 99.44 | 95.68 | 94.16 | 87.85 | 99.45 | 95.84 | 94.28 | 87.93 | 99.45 | 95.68 | 94.16 | 87.85 | 99.45 | 95.70 | 94.17 | 87.88 | | RMSprop | 99.72 | 96.22 | 96.55 | 87.98 | 99.73 | 96.30 | 94.28 | 87.86 | 99.72 | 96.22 | 94.16 | 87.98 | 99.72 | 96.23 | 94.17 | 87.95 | | AdaGrad | 88.62 | 83.54 | 63.90 | 60.37 | 88.73 | 83.78 | 87.86 | 64.95 | 88.62 | 83.54 | 87.98 | 63.91 | 88.60 | 83.52 | 87.95 | 63.77 | | Nadam | 99.77 | 96.73 | 97.76 | 88.57 | 99.77 | 96.80 | 97.57 | 87.86 | 99.77 | 96.73 | 97.76 | 87.98 | 99.77 | 96.72 | 97.76 | 87.95 | | Momentum | 99.16 | 95.56 | 94.16 | 87.76 | 99.18 | 95.72 | 94.11 | 87.73 | 99.17 | 95.57 | 94.17 | 87.77 | 99.17 | 95.58 | 94.15 | 87.74 | | AdaMax | 99.89 | 96.19 | 97.19 | 87.57 | 99.90 | 96.25 | 97.01 | 87.86 | 99.90 | 96.19 | 97.19 | 87.98 | 99.90 | 96.19 | 97.20 | 87.95 |
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