EON Tuner
The EON Tuner helps you find the most optimal architecture for your embedded machine-learning application. Clone this project to use the EON Tuner.
Target
No name set
Motion events
Cortex-M4F 80MHz
100 ms
128 kB
1024 kB
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General
F1-score
Precision
Recall
spectr-conv1d-b48
PERFORMANCE
LATENCY
100 ms
RAM
128 kB
ROM
1024 kB
Unused
INPUT
1000 ms | 1000 ms
SPECTRAL-ANALYSIS
128
ACCURACY
CLASSIFICATION (KERAS)
0.0005 | 30
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| conv1d | 128 | 3 | - |
| dropout | - | - | 0.25 |
raw-conv2d-05b
PERFORMANCE
LATENCY
100 ms
RAM
128 kB
ROM
1024 kB
Unused
INPUT
1000 ms | 1000 ms
RAW
ACCURACY
CLASSIFICATION (KERAS)
0.0005 | 30
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv2d | 32 | 3 | - |
| conv2d | 64 | 3 | - |
| dropout | - | - | 0.25 |
spectr-conv1d-9ec
PERFORMANCE
LATENCY
100 ms
RAM
128 kB
ROM
1024 kB
Unused
INPUT
1000 ms | 1000 ms
SPECTRAL-ANALYSIS
128
ACCURACY
CLASSIFICATION (KERAS)
0.0005 | 30
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| conv1d | 128 | 3 | - |
| dropout | - | - | 0.5 |
spectr-conv2d-4e7
PERFORMANCE
LATENCY
100 ms
RAM
128 kB
ROM
1024 kB
Unused
INPUT
1000 ms | 1000 ms
SPECTRAL-ANALYSIS
128
ACCURACY
CLASSIFICATION (KERAS)
0.0005 | 30
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv2d | 32 | 3 | - |
| conv2d | 64 | 3 | - |
| dropout | - | - | 0.5 |
Training output
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