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deeplab-v3 – AI Model by keja | AlphaNeural AI
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keja
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deeplab-v3
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tensorboard
tf-keras
image-segmentation
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Model description
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Intended uses & limitations
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Training and evaluation data
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Training procedure
Training hyperparameters
The following hyperparameters were used during training:
optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training Metrics
Epochs
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
1
1.189
0.639
2.374
0.596
2
0.954
0.697
1.89
0.59
3
0.84
0.732
1.3
0.651
4
0.77
0.753
1.014
0.677
5
0.704
0.773
1.053
0.668
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