The EON Tuner helps you quickly run hyper-parameter sweeps that explore different pre-processing + model architectures optimized for your defined objectives. Clone this project to use the EON Tuner.
Target
Run #6
ECO
500 ms
200000 kB
200000 kB
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Run #6 (Nov 26 2025, 17:00:51, cancelled)
spectr-dense-conv1d-e30
PERFORMANCE
LATENCY
500 ms
RAM
200000 kB
ROM
200000 kB
Unused
TIME-SERIES INPUT
5000 ms
|
500 ms
|
Enabled
SPECTRAL-ANALYSIS
2048
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 50 | 93%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| dense | 128 | - | - |
| dropout | - | - | 0.1 |
| dense | 32 | - | - |
CLASSIFICATION
0.005 | 100 | 32
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 8 | 7 | - |
| conv1d | 16 | 3 | - |
| conv1d | 32 | 3 | - |
| dropout | - | - | 0.5 |
0 11/26/2025, 5:02:39 PM
Training output
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