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
Test1
Nvidia Jetson Nano
100 ms
4194304 kB
16777216 kB
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General
F1-score
Precision
Recall
Run #1 - Test1 (Nov 21 2024, 19:31:46, finished)
86%
mfe-conv1d-d48
PERFORMANCE
LATENCY
4 ms of
100 ms
RAM
53 kB of
4194304 kB
ROM
36 kB of
16777216 kB
DSP
NN
Unused
TIME-SERIES INPUT
1000 ms
|
500 ms
|
Enabled
MFE
0.02 | 0.01 | 40
ACCURACY (OVERALL)
CLASSIFICATION
0.005 | 200 | 86%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 8 | 3 | - |
| dropout | - | - | 0.25 |
| conv1d | 16 | 3 | - |
| dropout | - | - | 0.25 |
11/21/2024, 7:48:41 PM
Training output
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