Marcelo Rovai / IESTI01 - Motion Classification - Version 2 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

Filters

Status

DSP type

Model type

View

Data set

Variant

Sort

General

F1-score

Precision

Recall

75%
spectr-dense-eb2
Show logs
PERFORMANCE
LATENCY
34 ms of 100 ms
RAM
15 kB of 256 kB
ROM
20 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 75%

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

3/16/2023, 7:31:06 PM

63%
spectr-dense-7ec
Show logs
PERFORMANCE
LATENCY
34 ms of 100 ms
RAM
15 kB of 256 kB
ROM
20 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 63%

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

3/16/2023, 7:36:37 PM

50%
spectr-dense-4ac
Show logs
PERFORMANCE
LATENCY
29 ms of 100 ms
RAM
15 kB of 256 kB
ROM
19 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 50%

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.25

3/16/2023, 7:19:56 PM

50%
spectr-dense-e53
Show logs
PERFORMANCE
LATENCY
111 ms of 100 ms
Exceeds target by 11 ms
RAM
10 kB of 256 kB
ROM
16 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 50%

Type Filters Kernel Rate
dense 20 - -
dense 10 - -
dense 5 - -
dropout - - 0.5

3/16/2023, 7:20:14 PM

50%
spectr-dense-f52
Show logs
PERFORMANCE
LATENCY
32 ms of 100 ms
RAM
15 kB of 256 kB
ROM
19 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 50%

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.25

3/16/2023, 7:27:11 PM

50%
spectr-dense-8fc
Show logs
PERFORMANCE
LATENCY
29 ms of 100 ms
RAM
15 kB of 256 kB
ROM
19 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 50%

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

3/16/2023, 7:32:35 PM

50%
spectr-dense-e8a
Show logs
PERFORMANCE
LATENCY
111 ms of 100 ms
Exceeds target by 11 ms
RAM
10 kB of 256 kB
ROM
16 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 50%

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

3/16/2023, 7:34:03 PM

38%
spectr-dense-5b7
Show logs
PERFORMANCE
LATENCY
29 ms of 100 ms
RAM
14 kB of 256 kB
ROM
16 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 38%

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

3/16/2023, 7:23:04 PM

38%
spectr-dense-770
Show logs
PERFORMANCE
LATENCY
29 ms of 100 ms
RAM
14 kB of 256 kB
ROM
16 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 38%

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

3/16/2023, 7:23:09 PM

38%
spectr-dense-560
Show logs
PERFORMANCE
LATENCY
34 ms of 100 ms
RAM
10 kB of 256 kB
ROM
20 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 38%

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

3/16/2023, 7:23:43 PM

38%
spectr-dense-606
Show logs
PERFORMANCE
LATENCY
32 ms of 100 ms
RAM
15 kB of 256 kB
ROM
16 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 38%

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

3/16/2023, 7:27:44 PM

38%
spectr-dense-a96
Show logs
PERFORMANCE
LATENCY
34 ms of 100 ms
RAM
10 kB of 256 kB
ROM
20 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 38%

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

3/16/2023, 7:28:39 PM

25%
spectr-dense-c43
Show logs
PERFORMANCE
LATENCY
29 ms of 100 ms
RAM
15 kB of 256 kB
ROM
19 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 25%

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

3/16/2023, 7:25:51 PM

25%
spectr-dense-0a7
Show logs
PERFORMANCE
LATENCY
29 ms of 100 ms
RAM
15 kB of 256 kB
ROM
19 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

16

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 25%

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

3/16/2023, 7:26:25 PM

25%
spectr-dense-5c2
Show logs
PERFORMANCE
LATENCY
34 ms of 100 ms
RAM
11 kB of 256 kB
ROM
17 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

10000 ms |
10000 ms |
Enabled

SPECTRAL-ANALYSIS

64

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 30 | 25%

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

3/16/2023, 7:23:59 PM

Help & documentation Get help on the forum Send feedback Contact sales
Join us
Terms of Service Privacy policy