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
Cortex-M7 216MHz
100 ms
340 kB
1024 kB
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DSP type
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General
F1-score
Precision
Recall
66%
spectr-dense-faf
PERFORMANCE
LATENCY
9 ms of 100 ms
RAM
10 kB of 340 kB
ROM
20 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
2000 ms |
500 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 66%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dropout | - | - | 0.5 |
12/5/2023, 9:58:37 AM
62%
spectr-dense-086
PERFORMANCE
LATENCY
9 ms of 100 ms
RAM
10 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
2000 ms |
500 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 62%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.25 |
12/5/2023, 9:58:31 AM
61%
spectr-dense-e42
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
10 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
2000 ms |
500 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 61%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dropout | - | - | 0.5 |
12/5/2023, 9:56:20 AM
60%
spectr-dense-b60
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
10 kB of 340 kB
ROM
19 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
2000 ms |
500 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 60%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.25 |
12/5/2023, 10:00:44 AM
60%
spectr-dense-bc8
PERFORMANCE
LATENCY
24 ms of 100 ms
RAM
7 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
2000 ms |
500 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 60%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dropout | - | - | 0.25 |
12/5/2023, 9:57:10 AM
58%
spectr-dense-c96
PERFORMANCE
LATENCY
13 ms of 100 ms
RAM
18 kB of 340 kB
ROM
20 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
1000 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 58%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.25 |
12/5/2023, 10:00:46 AM
58%
spectr-dense-06c
PERFORMANCE
LATENCY
13 ms of 100 ms
RAM
18 kB of 340 kB
ROM
20 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
1000 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 58%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dropout | - | - | 0.5 |
12/5/2023, 9:50:37 AM
47%
spectr-dense-5d2
PERFORMANCE
LATENCY
13 ms of 100 ms
RAM
17 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
1000 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 47%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dropout | - | - | 0.25 |
12/5/2023, 9:47:37 AM
44%
spectr-dense-993
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
7 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
2000 ms |
500 ms |
Enabled
SPECTRAL-ANALYSIS
64
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 44%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.25 |
12/5/2023, 10:04:05 AM
41%
spectr-dense-ca3
PERFORMANCE
LATENCY
15 ms of 100 ms
RAM
18 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
1000 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 41%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.25 |
12/5/2023, 9:57:12 AM
40%
spectr-dense-771
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
10 kB of 340 kB
ROM
16 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
2000 ms |
500 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 40%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dense | 5 | - | - |
dropout | - | - | 0.25 |
12/5/2023, 10:00:45 AM
38%
spectr-dense-5fc
PERFORMANCE
LATENCY
9 ms of 100 ms
RAM
10 kB of 340 kB
ROM
20 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
2000 ms |
1000 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 38%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.5 |
12/5/2023, 10:00:31 AM
38%
spectr-dense-34e
PERFORMANCE
LATENCY
13 ms of 100 ms
RAM
17 kB of 340 kB
ROM
16 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
1000 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 38%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.25 |
12/5/2023, 9:47:57 AM
34%
spectr-dense-bf7
PERFORMANCE
LATENCY
24 ms of 100 ms
RAM
7 kB of 340 kB
ROM
15 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
2000 ms |
2000 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 34%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dense | 5 | - | - |
dropout | - | - | 0.25 |
12/5/2023, 10:00:59 AM
34%
spectr-dense-c17
PERFORMANCE
LATENCY
15 ms of 100 ms
RAM
18 kB of 340 kB
ROM
20 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
4000 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 34%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dropout | - | - | 0.25 |
12/5/2023, 9:50:15 AM
Training output
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