Edge Impulse Experts / fallBT Public

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

Continuous motion

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

200 ms

256 kB

1024 kB

Filters

Status

DSP type

Network type

View

Data set

Precision

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General

F1-score

Precision

Recall

100%
spectr-dense-9c5
PERFORMANCE
LATENCY
170 ms of 200 ms
RAM
36 kB of 256 kB
ROM
109 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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

100%
spectr-dense-c65
PERFORMANCE
LATENCY
142 ms of 200 ms
RAM
36 kB of 256 kB
ROM
200 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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

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

100%
spectr-dense-24c
PERFORMANCE
LATENCY
142 ms of 200 ms
RAM
36 kB of 256 kB
ROM
200 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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

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

100%
spectr-dense-d30
PERFORMANCE
LATENCY
173 ms of 200 ms
RAM
36 kB of 256 kB
ROM
200 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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

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

96%
spectr-dense-25e
PERFORMANCE
LATENCY
36 ms of 200 ms
RAM
12 kB of 256 kB
ROM
30 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

128

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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

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

96%
spectr-dense-ad8
PERFORMANCE
LATENCY
37 ms of 200 ms
RAM
12 kB of 256 kB
ROM
43 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

128

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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

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

96%
spectr-dense-e53
PERFORMANCE
LATENCY
31 ms of 200 ms
RAM
12 kB of 256 kB
ROM
30 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

128

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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

96%
spectr-dense-0d4
PERFORMANCE
LATENCY
175 ms of 200 ms
RAM
36 kB of 256 kB
ROM
109 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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

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

96%
spectr-dense-1d8
PERFORMANCE
LATENCY
36 ms of 200 ms
RAM
12 kB of 256 kB
ROM
30 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

128

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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

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

96%
spectr-dense-d24
PERFORMANCE
LATENCY
175 ms of 200 ms
RAM
36 kB of 256 kB
ROM
109 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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

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

96%
spectr-dense-f13
PERFORMANCE
LATENCY
188 ms of 200 ms
RAM
36 kB of 256 kB
ROM
109 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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

8/28/2022, 2:06:10 PM

91%
raw-dense-060
PERFORMANCE
LATENCY
25 ms of 200 ms
RAM
10 kB of 256 kB
ROM
54 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

RAW

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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

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

91%
spectr-dense-ecb
PERFORMANCE
LATENCY
34 ms of 200 ms
RAM
12 kB of 256 kB
ROM
30 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

128

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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

8/28/2022, 2:00:54 PM

91%
raw-dense-3b9
PERFORMANCE
LATENCY
25 ms of 200 ms
RAM
10 kB of 256 kB
ROM
54 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

RAW

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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

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

87%
spectr-dense-bee
PERFORMANCE
LATENCY
109 ms of 200 ms
RAM
36 kB of 256 kB
ROM
201 kB of 1024 kB
DSP NN Unused
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

ACCURACY
CLASSIFICATION (KERAS)

0.0005 | 30

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