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
Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz)
100 ms
256 kB
1024 kB
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General
F1-score
Precision
Recall
92%
spectr-dense-081
PERFORMANCE
LATENCY
2 ms of
100 ms
RAM
2 kB of
256 kB
ROM
21 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
4000 ms
|
4000 ms
|
Enabled
SPECTRAL-ANALYSIS
1024
ACCURACY (KERAS)
4/15/2022, 1:31:26 AM
80%
spectr-dense-65a
PERFORMANCE
LATENCY
2 ms of
100 ms
RAM
24 kB of
256 kB
ROM
25 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
2000 ms
|
2000 ms
|
Enabled
SPECTRAL-ANALYSIS
1024
ACCURACY (KERAS)
4/15/2022, 1:25:24 AM
70%
spectr-dense-5bf
PERFORMANCE
LATENCY
2 ms of
100 ms
RAM
2 kB of
256 kB
ROM
19 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
4000 ms
|
2000 ms
|
Enabled
SPECTRAL-ANALYSIS
128
ACCURACY (KERAS)
4/15/2022, 1:30:00 AM
64%
spectr-dense-aad
PERFORMANCE
LATENCY
2 ms of
100 ms
RAM
2 kB of
256 kB
ROM
22 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
2000 ms
|
2000 ms
|
Enabled
SPECTRAL-ANALYSIS
128
ACCURACY (KERAS)
4/15/2022, 1:22:45 AM
62%
spectr-dense-a95
PERFORMANCE
LATENCY
2 ms of
100 ms
RAM
2 kB of
256 kB
ROM
25 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
4000 ms
|
2000 ms
|
Enabled
SPECTRAL-ANALYSIS
128
ACCURACY (KERAS)
4/15/2022, 1:24:24 AM
58%
spectr-dense-4cf
PERFORMANCE
LATENCY
6 ms of
100 ms
RAM
2 kB of
256 kB
ROM
25 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
2000 ms
|
1000 ms
|
Enabled
SPECTRAL-ANALYSIS
1024
ACCURACY (KERAS)
4/15/2022, 1:27:23 AM
53%
spectr-dense-dab
PERFORMANCE
LATENCY
5 ms of
100 ms
RAM
22 kB of
256 kB
ROM
25 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
1000 ms
|
1000 ms
|
Enabled
SPECTRAL-ANALYSIS
1024
ACCURACY (KERAS)
4/15/2022, 1:31:49 AM
50%
spectr-dense-406
PERFORMANCE
LATENCY
2 ms of
100 ms
RAM
22 kB of
256 kB
ROM
25 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
1000 ms
|
1000 ms
|
Enabled
SPECTRAL-ANALYSIS
1024
ACCURACY (KERAS)
4/15/2022, 1:19:55 AM
40%
spectr-dense-440
PERFORMANCE
LATENCY
2 ms of
100 ms
RAM
2 kB of
256 kB
ROM
25 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
4000 ms
|
4000 ms
|
Enabled
SPECTRAL-ANALYSIS
1024
ACCURACY (KERAS)
4/15/2022, 1:28:41 AM
40%
spectr-dense-431
PERFORMANCE
LATENCY
2 ms of
100 ms
RAM
2 kB of
256 kB
ROM
19 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
4000 ms
|
2000 ms
|
Enabled
SPECTRAL-ANALYSIS
1024
ACCURACY (KERAS)
4/15/2022, 1:29:04 AM
39%
spectr-dense-fff
PERFORMANCE
LATENCY
5 ms of
100 ms
RAM
23 kB of
256 kB
ROM
25 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
2000 ms
|
2000 ms
|
Enabled
SPECTRAL-ANALYSIS
1024
ACCURACY (KERAS)
4/15/2022, 1:30:29 AM
39%
spectr-dense-6df
PERFORMANCE
LATENCY
2 ms of
100 ms
RAM
6 kB of
256 kB
ROM
22 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
1000 ms
|
1000 ms
|
Enabled
SPECTRAL-ANALYSIS
128
ACCURACY (KERAS)
4/15/2022, 1:22:22 AM
38%
spectr-dense-c3d
PERFORMANCE
LATENCY
2 ms of
100 ms
RAM
22 kB of
256 kB
ROM
25 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
1000 ms
|
1000 ms
|
Enabled
SPECTRAL-ANALYSIS
1024
ACCURACY (KERAS)
4/15/2022, 1:31:00 AM
37%
spectr-dense-f99
PERFORMANCE
LATENCY
2 ms of
100 ms
RAM
2 kB of
256 kB
ROM
21 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
4000 ms
|
2000 ms
|
Enabled
SPECTRAL-ANALYSIS
1024
ACCURACY (KERAS)
4/15/2022, 1:23:44 AM
31%
spectr-dense-0f4
PERFORMANCE
LATENCY
5 ms of
100 ms
RAM
2 kB of
256 kB
ROM
25 kB of
1024 kB
DSP
NN
Unused
TIME-SERIES INPUT
2000 ms
|
2000 ms
|
Enabled
SPECTRAL-ANALYSIS
128
ACCURACY (KERAS)
4/15/2022, 1:26:36 AM
Training output
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