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
0.05 | 0.05 | 32
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
0.032 | 0.032 | 32
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
0.032 | 0.032 | 32
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
0.05 | 0.05 | 40
0.005 | 100 | 97%
Type | Filters | Kernel | Rate |
---|---|---|---|
conv2d | 16 | 3 | - |
conv2d | 32 | 3 | - |
dropout | - | - | 0.5 |
11/30/2023, 12:42:37 AM
0.05 | 0.025 | 40
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
0.032 | 0.032 | 32
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
0.05 | 0.05 | 32
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
0.032 | 0.032 | 40
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
0.032 | 0.032 | 40
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
0.05 | 0.05 | 32
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
0.05 | 0.05 | 40
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
0.032 | 0.032 | 32
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
0.032 | 0.032 | 32
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
0.05 | 0.05 | 40
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
0.05 | 0.025 | 40
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