wideresnet28-2-mnist – AI Model by johko | AlphaNeural AI

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johko/
wideresnet28-2-mnist

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object-detection

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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:

name	learning_rate	decay	beta_1	beta_2	epsilon	amsgrad	training_precision
Adam	{'class_name': 'CosineDecay', 'config': {'initial_learning_rate': 0.03, 'decay_steps': 9370, 'alpha': 0.25, 'name': None}}	0.0	0.8999999761581421	0.9990000128746033	1e-07	False	float32

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