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)
83%
mfe-conv1d-f59
View
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
29 kB of 4194304 kB
ROM
576 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.02 | 0.01 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 83%

Type Filters Kernel Rate
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
conv1d 256 3 -
dropout - - 0.5

11/25/2024, 9:41:19 PM

79%
mfe-conv2d-f2d
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
62 kB of 4194304 kB
ROM
52 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 | 79%

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

11/25/2024, 9:36:41 PM

78%
mfe-conv1d-49e
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
45 kB of 4194304 kB
ROM
576 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.02 | 0.01 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 78%

Type Filters Kernel Rate
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
conv1d 256 3 -
dropout - - 0.25

11/25/2024, 9:41:06 PM

70%
mfe-conv2d-54b
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
52 kB of 4194304 kB
ROM
412 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 | 70%

Type Filters Kernel Rate
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
conv2d 128 3 -
dropout - - 0.5

11/25/2024, 9:35:17 PM

66%
mfe-conv2d-b96
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
52 kB of 4194304 kB
ROM
129 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 | 66%

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

11/25/2024, 9:39:40 PM

64%
mfe-conv1d-4a0
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 | 64%

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

11/25/2024, 9:33:51 PM

64%
mfe-conv2d-238
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 | 64%

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

11/25/2024, 9:28:31 PM

62%
mfe-conv1d-361
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
44 kB of 4194304 kB
ROM
42 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.02 | 0.01 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 62%

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

11/25/2024, 9:38:51 PM

50%
mfe-conv1d-b56
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
25 kB of 4194304 kB
ROM
31 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.02 | 0.02 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 50%

Type Filters Kernel Rate
Data augmentation
conv1d 8 3 -
conv1d 16 3 -
dropout - - 0.5

11/25/2024, 9:37:20 PM

47%
mfcc-conv2d-bc8
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
53 kB of 4194304 kB
ROM
127 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.02 | 0.01 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 47%

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

11/25/2024, 9:36:31 PM

41%
mfcc-conv2d-84e
PERFORMANCE
LATENCY
12 ms of 100 ms
RAM
79 kB of 4194304 kB
ROM
127 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.02 | 0.01 | 40

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 41%

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

11/25/2024, 9:35:00 PM

41%
mfe-conv1d-fb6
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 | 41%

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

11/25/2024, 9:25:13 PM

38%
mfcc-conv2d-1d2
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
28 kB of 4194304 kB
ROM
123 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.02 | 0.02 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 38%

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

11/25/2024, 9:43:10 PM

36%
mfe-conv2d-165
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
75 kB of 4194304 kB
ROM
128 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFE

0.02 | 0.02 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 36%

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

11/25/2024, 9:35:43 PM

34%
mfcc-conv1d-cff
PERFORMANCE
LATENCY
9 ms of 100 ms
RAM
51 kB of 4194304 kB
ROM
569 kB of 16777216 kB
DSP NN Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

MFCC

0.02 | 0.01 | 32

ACCURACY (OVERALL)
CLASSIFICATION

0.005 | 100 | 34%

Type Filters Kernel Rate
conv1d 32 3 -
conv1d 64 3 -
conv1d 128 3 -
conv1d 256 3 -
dropout - - 0.5

11/25/2024, 9:31:23 PM

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