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
Input Window Sizing 2
Cortex-M4F 80MHz
100 ms
128 kB
1024 kB
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F1-score
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Run #3 - Input Window Sizing 2 (Oct 11 2024, 09:45:38, finished)
100%
raw-dense-b20
PERFORMANCE
LATENCY
1 ms of
100 ms
RAM
1 kB of
128 kB
ROM
12 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
5400000 ms
|
2700000 ms
|
Enabled
RAW
1
REGRESSION
0.005 | 100 | 100%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| dense | 20 | - | - |
| dense | 10 | - | - |
10/11/2024, 9:48:37 AM
100%
raw-dense-b76
PERFORMANCE
LATENCY
1 ms of
100 ms
RAM
1 kB of
128 kB
ROM
11 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
1800000 ms
|
900000 ms
|
Enabled
RAW
1
REGRESSION
0.005 | 100 | 100%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| dense | 20 | - | - |
| dense | 10 | - | - |
10/11/2024, 9:57:59 AM
100%
raw-dense-cb4
PERFORMANCE
LATENCY
1 ms of
100 ms
RAM
1 kB of
128 kB
ROM
11 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
2700000 ms
|
1350000 ms
|
Enabled
RAW
1
REGRESSION
0.005 | 100 | 100%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| dense | 20 | - | - |
| dense | 10 | - | - |
10/11/2024, 9:56:41 AM
Training output
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