Edge Impulse Experts / fallBT Public

EON Tuner

Using the EON tuner you can effortlessly find the most optimal architecture for your embedded machine-learning application! Clone this project to get started using the EON Tuner

Target

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

128

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

128

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

128

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

128

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

RAW

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

128

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

RAW

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
200 ms
RAM
256 kB
ROM
1024 kB
DSP NN Unused
ACCURACY
INPUT

1000 ms | 1000 ms

SPECTRAL-ANALYSIS

1024

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