Target
No name set
Arduino Nicla Vision (Cortex-M7 480MHz)
100 ms
1024 kB
2048 kB
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General
F1-score
Precision
Recall
0.05 | 0.025 | 32
0.005 | 100 | 90%
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
conv1d | 128 | 3 | - |
dropout | - | - | 0.5 |
5/22/2023, 7:14:09 PM
0.05 | 0.025 | 32
0.005 | 100 | 90%
Type | Filters | Kernel | Rate |
---|---|---|---|
Data augmentation | |||
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
conv1d | 128 | 3 | - |
dropout | - | - | 0.25 |
5/22/2023, 7:14:58 PM
0.032 | 0.032 | 32
0.005 | 100 | 90%
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.5 |
5/22/2023, 7:19:29 PM
0.032 | 0.032 | 32
0.005 | 100 | 90%
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
dropout | - | - | 0.5 |
5/22/2023, 7:15:42 PM
0.032 | 0.032 | 32
0.005 | 100 | 90%
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 8 | 3 | - |
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
dropout | - | - | 0.25 |
5/22/2023, 7:06:47 PM
0.032 | 0.032 | 32
0.005 | 100 | 89%
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 8 | 3 | - |
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
dropout | - | - | 0.25 |
5/22/2023, 7:12:35 PM
0.032 | 0.032 | 32
0.005 | 100 | 89%
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 8 | 3 | - |
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
dropout | - | - | 0.5 |
5/22/2023, 7:09:37 PM
0.032 | 0.032 | 32
0.005 | 100 | 89%
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 8 | 3 | - |
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.5 |
5/22/2023, 6:53:26 PM
0.05 | 0.05 | 32
0.005 | 100 | 89%
Type | Filters | Kernel | Rate |
---|---|---|---|
conv2d | 8 | 3 | - |
conv2d | 16 | 3 | - |
conv2d | 32 | 3 | - |
dropout | - | - | 0.5 |
5/22/2023, 7:19:03 PM
0.05 | 0.025 | 32
0.005 | 100 | 88%
Type | Filters | Kernel | Rate |
---|---|---|---|
Data augmentation | |||
conv1d | 8 | 3 | - |
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.25 |
5/22/2023, 7:04:51 PM
0.032 | 0.032 | 32
0.005 | 100 | 88%
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 8 | 3 | - |
conv1d | 16 | 3 | - |
dropout | - | - | 0.25 |
5/22/2023, 7:10:13 PM
0.032 | 0.032 | 32
0.005 | 100 | 88%
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
dropout | - | - | 0.25 |
5/22/2023, 7:20:57 PM
0.032 | 0.032 | 32
0.005 | 100 | 88%
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
dropout | - | - | 0.5 |
5/22/2023, 7:06:13 PM
0.05 | 0.05 | 32
0.005 | 100 | 87%
Type | Filters | Kernel | Rate |
---|---|---|---|
Data augmentation | |||
conv2d | 8 | 3 | - |
conv2d | 16 | 3 | - |
conv2d | 32 | 3 | - |
dropout | - | - | 0.5 |
5/22/2023, 7:15:04 PM
0.05 | 0.025 | 40
0.005 | 100 | 87%
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 8 | 3 | - |
conv1d | 16 | 3 | - |
dropout | - | - | 0.5 |
5/22/2023, 6:53:35 PM