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
Model type
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General
F1-score
Precision
Recall
100%
spectr-dense-ade
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
3 kB of 340 kB
ROM
21 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
2000 ms |
500 ms |
Enabled
SPECTRAL-ANALYSIS
64
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 100%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.25 |
12/19/2022, 5:58:39 AM
94%
spectr-dense-8d6
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
2000 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 94%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.5 |
12/19/2022, 5:57:31 AM
93%
spectr-dense-6f4
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 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 | 93%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.5 |
12/19/2022, 5:54:42 AM
93%
spectr-dense-2bf
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 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 | 93%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.25 |
12/19/2022, 5:57:54 AM
92%
spectr-dense-d36
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 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 | 92%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dropout | - | - | 0.5 |
12/19/2022, 5:53:29 AM
92%
spectr-dense-4ce
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
4000 ms |
Enabled
SPECTRAL-ANALYSIS
64
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 92%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dense | 5 | - | - |
dropout | - | - | 0.25 |
12/19/2022, 5:54:06 AM
92%
spectr-dense-66d
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 340 kB
ROM
21 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
1000 ms |
Enabled
SPECTRAL-ANALYSIS
64
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 92%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.25 |
12/19/2022, 5:53:30 AM
92%
spectr-dense-41f
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 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 | 92%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.25 |
12/19/2022, 5:54:11 AM
92%
spectr-dense-07b
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
3 kB of 340 kB
ROM
21 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
2000 ms |
Enabled
SPECTRAL-ANALYSIS
64
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 92%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dropout | - | - | 0.5 |
12/19/2022, 5:53:52 AM
92%
spectr-dense-98b
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
2000 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 92%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.25 |
12/19/2022, 5:55:03 AM
92%
spectr-dense-933
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
3 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
2000 ms |
Enabled
SPECTRAL-ANALYSIS
64
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 92%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.25 |
12/19/2022, 5:55:16 AM
92%
spectr-dense-c74
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
3 kB of 340 kB
ROM
21 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
1000 ms |
Enabled
SPECTRAL-ANALYSIS
64
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 92%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dropout | - | - | 0.5 |
12/19/2022, 5:55:24 AM
92%
spectr-dense-fdf
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
4000 ms |
Enabled
SPECTRAL-ANALYSIS
16
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 92%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.25 |
12/19/2022, 5:55:50 AM
92%
spectr-dense-e6e
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 340 kB
ROM
21 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
1000 ms |
Enabled
SPECTRAL-ANALYSIS
64
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 92%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.5 |
12/19/2022, 5:55:59 AM
92%
spectr-dense-99b
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
3 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT
4000 ms |
1000 ms |
Enabled
SPECTRAL-ANALYSIS
64
ACCURACY (KERAS)
CLASSIFICATION
0.0005 | 30 | 92%
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.5 |
12/19/2022, 5:56:26 AM
Training output
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