Mathilde Bindslev / ML-mini-project Public
Target: Nvidia Jetson Nano Clone this project
Experiments EON Tuner
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

EON Tuner

Nvidia Jetson Nano

100 ms

4194304 kB

16777216 kB

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Run #2 - EON Tuner (Nov 25 2024, 21:21:50, finished) Run #1 - EON Tuner (Nov 21 2024, 19:50:14, finished)
81%
mfe-conv1d-3e5
View
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
10 kB of 4194304 kB
ROM
65 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.032 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 81%

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

11/21/2024, 8:14:27 PM

76%
mfe-conv1d-cba
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
23 kB of 4194304 kB
ROM
37 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.025 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 76%

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.5

11/21/2024, 8:07:31 PM

75%
mfe-conv1d-9f0
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
19 kB of 4194304 kB
ROM
36 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.032 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 75%

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.5

11/21/2024, 8:05:53 PM

65%
mfe-conv2d-d62
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
35 kB of 4194304 kB
ROM
40 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 65%

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

11/21/2024, 7:57:38 PM

53%
mfe-conv1d-8d1
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
19 kB of 4194304 kB
ROM
65 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.032 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 53%

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

11/21/2024, 8:03:09 PM

37%
mfe-conv2d-91b
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
35 kB of 4194304 kB
ROM
40 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 37%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.25

11/21/2024, 8:11:31 PM

37%
mfcc-conv2d-97d
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
31 kB of 4194304 kB
ROM
37 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.032 | 0.032 | 40

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 37%

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

11/21/2024, 7:57:40 PM

37%
mfe-conv2d-99e
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
49 kB of 4194304 kB
ROM
47 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.032 | 0.032 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 37%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.25

11/21/2024, 8:07:20 PM

37%
mfe-conv1d-077
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
23 kB of 4194304 kB
ROM
164 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.05 | 0.025 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 37%

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

11/21/2024, 7:57:07 PM

36%
mfcc-conv2d-ede
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
22 kB of 4194304 kB
ROM
40 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.025 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 36%

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

11/21/2024, 8:00:08 PM

32%
mfcc-conv1d-fd8
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
6 kB of 4194304 kB
ROM
36 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.032 | 0.032 | 40

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 32%

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

11/21/2024, 8:04:29 PM

29%
mfcc-conv2d-fa3
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
36 kB of 4194304 kB
ROM
40 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.025 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 29%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.5

11/21/2024, 8:00:06 PM

28%
mfcc-conv2d-728
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
12 kB of 4194304 kB
ROM
34 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 28%

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.5

11/21/2024, 8:12:18 PM

25%
mfcc-conv2d-681
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
35 kB of 4194304 kB
ROM
54 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 25%

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

11/21/2024, 8:00:01 PM

25%
mfcc-conv2d-093
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
12 kB of 4194304 kB
ROM
49 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.05 | 0.05 | 40

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 25%

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

11/21/2024, 8:02:29 PM

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