Cosmic Bee / CosmicBee-project-1 Public
The EON Tuner helps you quickly run hyper-parameter sweeps that explore different pre-processing + model architectures optimized for your defined objectives. 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

97%
mfcc-conv2d-21d
PERFORMANCE
LATENCY
173 ms of 100 ms
Exceeds target by 73 ms
RAM
17 kB of 256 kB
ROM
37 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 97%

Type Filters Kernel Rate
Data augmentation
conv2d 16 3 -
conv2d 32 3 -
dropout - - 0.25

11/30/2023, 12:18:40 AM

97%
mfcc-conv1d-f5c
PERFORMANCE
LATENCY
215 ms of 100 ms
Exceeds target by 115 ms
RAM
16 kB of 256 kB
ROM
40 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.032 | 0.032 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 97%

Type Filters Kernel Rate
Data augmentation
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.5

11/30/2023, 12:32:43 AM

97%
mfcc-conv1d-72b
PERFORMANCE
LATENCY
208 ms of 100 ms
Exceeds target by 108 ms
RAM
18 kB of 256 kB
ROM
67 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.032 | 0.032 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 97%

Type Filters Kernel Rate
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.25

11/30/2023, 12:39:18 AM

97%
mfcc-conv2d-35b
PERFORMANCE
LATENCY
209 ms of 100 ms
Exceeds target by 109 ms
RAM
18 kB of 256 kB
ROM
37 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 97%

Type Filters Kernel Rate
conv2d 16 3 -
conv2d 32 3 -
dropout - - 0.5

11/30/2023, 12:42:37 AM

97%
mfcc-conv1d-fcd
PERFORMANCE
LATENCY
347 ms of 100 ms
Exceeds target by 247 ms
RAM
22 kB of 256 kB
ROM
69 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.025 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 97%

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.5

11/30/2023, 12:38:16 AM

97%
mfcc-conv1d-8fb
PERFORMANCE
LATENCY
200 ms of 100 ms
Exceeds target by 100 ms
RAM
16 kB of 256 kB
ROM
41 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.032 | 0.032 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 97%

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.5

11/30/2023, 12:45:37 AM

94%
mfe-conv1d-5e3
PERFORMANCE
LATENCY
117 ms of 100 ms
Exceeds target by 17 ms
RAM
16 kB of 256 kB
ROM
69 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 94%

Type Filters Kernel Rate
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.5

11/30/2023, 12:31:32 AM

94%
mfcc-conv1d-3d8
PERFORMANCE
LATENCY
249 ms of 100 ms
Exceeds target by 149 ms
RAM
17 kB of 256 kB
ROM
41 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.032 | 0.032 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 94%

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.25

11/30/2023, 12:43:51 AM

94%
mfcc-conv1d-81d
PERFORMANCE
LATENCY
249 ms of 100 ms
Exceeds target by 149 ms
RAM
17 kB of 256 kB
ROM
41 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.032 | 0.032 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 94%

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.5

11/30/2023, 12:49:41 AM

92%
mfe-conv2d-50b
PERFORMANCE
LATENCY
111 ms of 100 ms
Exceeds target by 11 ms
RAM
18 kB of 256 kB
ROM
37 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 92%

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
dropout - - 0.5

11/30/2023, 12:20:49 AM

92%
mfcc-conv2d-9ff
PERFORMANCE
LATENCY
204 ms of 100 ms
Exceeds target by 104 ms
RAM
18 kB of 256 kB
ROM
56 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 92%

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.25

11/30/2023, 12:24:57 AM

92%
mfe-conv1d-f30
PERFORMANCE
LATENCY
133 ms of 100 ms
Exceeds target by 33 ms
RAM
17 kB of 256 kB
ROM
69 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.032 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 92%

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.25

11/30/2023, 12:32:49 AM

92%
mfe-conv1d-924
PERFORMANCE
LATENCY
117 ms of 100 ms
Exceeds target by 17 ms
RAM
15 kB of 256 kB
ROM
42 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.032 | 32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 92%

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.5

11/30/2023, 12:31:49 AM

92%
mfcc-conv2d-415
PERFORMANCE
LATENCY
209 ms of 100 ms
Exceeds target by 109 ms
RAM
18 kB of 256 kB
ROM
37 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 92%

Type Filters Kernel Rate
Data augmentation
conv2d 16 3 -
conv2d 32 3 -
dropout - - 0.25

11/30/2023, 12:32:11 AM

92%
mfcc-conv1d-9d3
PERFORMANCE
LATENCY
347 ms of 100 ms
Exceeds target by 247 ms
RAM
22 kB of 256 kB
ROM
69 kB of 1024 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.025 | 40

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100 | 92%

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
dropout - - 0.25

11/30/2023, 12:38:14 AM