Edge Impulse Experts / fallBT Public
Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) Clone this project
Experiments 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

Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz)

100 ms

256 kB

1024 kB

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General

F1-score

Precision

Recall

94%
raw-dense-060
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
10 kB of 256 kB
ROM
54 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

RAW

1

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 94%

Type Filters Kernel Rate
dense 40 - -
dropout - - 0.25
dense 20 - -
dropout - - 0.25

8/28/2022, 1:55:01 PM

94%
spectr-dense-ad8
Show logs
PERFORMANCE
LATENCY
22 ms of 100 ms
RAM
12 kB of 256 kB
ROM
43 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

128

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 94%

Type Filters Kernel Rate
dense 40 - -
dropout - - 0.5
dense 20 - -
dropout - - 0.5

8/28/2022, 1:55:06 PM

94%
spectr-dense-e53
Show logs
PERFORMANCE
LATENCY
22 ms of 100 ms
RAM
12 kB of 256 kB
ROM
30 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

128

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 94%

Type Filters Kernel Rate
dense 20 - -
dropout - - 0.25
dense 10 - -
dropout - - 0.25
dense 5 - -
dropout - - 0.25

8/28/2022, 1:59:37 PM

94%
spectr-dense-0d4
Show logs
PERFORMANCE
LATENCY
112 ms of 100 ms
Exceeds target by 12 ms
RAM
36 kB of 256 kB
ROM
109 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

1024

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 94%

Type Filters Kernel Rate
dense 20 - -
dropout - - 0.25
dense 10 - -
dropout - - 0.25

8/28/2022, 2:03:56 PM

94%
spectr-dense-d24
Show logs
PERFORMANCE
LATENCY
112 ms of 100 ms
Exceeds target by 12 ms
RAM
36 kB of 256 kB
ROM
109 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

1024

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 94%

Type Filters Kernel Rate
dense 20 - -
dropout - - 0.25
dense 10 - -
dropout - - 0.25

8/28/2022, 2:05:14 PM

94%
raw-dense-3b9
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
10 kB of 256 kB
ROM
54 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

RAW

1

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 94%

Type Filters Kernel Rate
dense 40 - -
dropout - - 0.25
dense 20 - -
dropout - - 0.25

8/28/2022, 2:06:33 PM

88%
spectr-dense-25e
Show logs
PERFORMANCE
LATENCY
22 ms of 100 ms
RAM
12 kB of 256 kB
ROM
30 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

128

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 88%

Type Filters Kernel Rate
dense 20 - -
dropout - - 0.25
dense 10 - -
dropout - - 0.25

8/28/2022, 1:54:09 PM

88%
spectr-dense-9c5
Show logs
PERFORMANCE
LATENCY
110 ms of 100 ms
Exceeds target by 10 ms
RAM
36 kB of 256 kB
ROM
109 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

1024

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 88%

Type Filters Kernel Rate
dense 20 - -
dropout - - 0.25
dense 10 - -
dropout - - 0.25
dense 5 - -
dropout - - 0.25

8/28/2022, 1:56:04 PM

88%
spectr-dense-bee
Show logs
PERFORMANCE
LATENCY
113 ms of 100 ms
Exceeds target by 13 ms
RAM
36 kB of 256 kB
ROM
201 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

1024

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 88%

Type Filters Kernel Rate
dense 40 - -
dropout - - 0.5
dense 20 - -
dropout - - 0.5
dense 10 - -
dropout - - 0.5

8/28/2022, 1:57:27 PM

88%
spectr-dense-c65
Show logs
PERFORMANCE
LATENCY
110 ms of 100 ms
Exceeds target by 10 ms
RAM
36 kB of 256 kB
ROM
200 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

1024

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 88%

Type Filters Kernel Rate
dense 40 - -
dropout - - 0.5
dense 20 - -
dropout - - 0.5

8/28/2022, 2:01:07 PM

88%
spectr-dense-24c
Show logs
PERFORMANCE
LATENCY
110 ms of 100 ms
Exceeds target by 10 ms
RAM
36 kB of 256 kB
ROM
200 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

1024

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 88%

Type Filters Kernel Rate
dense 40 - -
dropout - - 0.5
dense 20 - -
dropout - - 0.5

8/28/2022, 2:01:54 PM

88%
spectr-dense-459
Show logs
PERFORMANCE
LATENCY
113 ms of 100 ms
Exceeds target by 13 ms
RAM
36 kB of 256 kB
ROM
201 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

1024

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 88%

Type Filters Kernel Rate
dense 40 - -
dropout - - 0.5
dense 20 - -
dropout - - 0.5
dense 10 - -
dropout - - 0.5

8/28/2022, 2:03:41 PM

88%
spectr-dense-1d8
Show logs
PERFORMANCE
LATENCY
22 ms of 100 ms
RAM
12 kB of 256 kB
ROM
30 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

128

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 88%

Type Filters Kernel Rate
dense 20 - -
dropout - - 0.25
dense 10 - -
dropout - - 0.25

8/28/2022, 2:04:04 PM

88%
spectr-dense-d30
Show logs
PERFORMANCE
LATENCY
111 ms of 100 ms
Exceeds target by 11 ms
RAM
36 kB of 256 kB
ROM
200 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

SPECTRAL-ANALYSIS

1024

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 88%

Type Filters Kernel Rate
dense 40 - -
dropout - - 0.25
dense 20 - -
dropout - - 0.25

8/28/2022, 2:06:36 PM

82%
raw-dense-c57
Show logs
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
10 kB of 256 kB
ROM
54 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

RAW

1

ACCURACY (KERAS)
CLASSIFICATION (KERAS)

0.0005 | 30 | 82%

Type Filters Kernel Rate
dense 40 - -
dropout - - 0.5
dense 20 - -
dropout - - 0.5

8/28/2022, 1:53:09 PM

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