CASAProject_V2 - custom-cnn-block

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custom-cnn-block settings

Training settings

Number of training cycles

Please provide a valid number of training cycles (numeric only)

Use learned optimizer

Learning rate

Please provide a valid number for the learning rate (between 0 and 1)

Training processor

Please provide a valid training processor option

Data augmentation

Advanced training settings

Validation set size

Please provide a valid number for the train/validate split (between 0 and 1)

Split train/validation set on metadata key

Batch size

Profile int8 model

Neural network architecture

Save

Input layer (49,152 features)

PhoebeJS- Developer Profile / custom-cnn-block

Output layer (2 classes)

Model

Model version:

Last training performance (validation set)

Accuracy

74.9%

Loss

0.53

Confusion matrix (validation set)

Metrics (validation set)

Metric	Value
Area under ROC Curve	0.75
Weighted average Precision	0.77
Weighted average Recall	0.75
Weighted average F1 score	0.74

Data explorer (classified samples)

On-device performance

Engine:

Inferencing time

N/A

Peak RAM usage

990.9K

Flash usage

12.6M

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