nateraw/autoencoder-keras-mnist-demo-with-card

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

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	Validation Loss
1	0.184	0.105
2	0.101	0.097
3	0.096	0.094
4	0.094	0.092
5	0.092	0.091
6	0.091	0.09
7	0.09	0.089
8	0.09	0.089
9	0.089	0.089
10	0.089	0.088

Model Plot

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