Target
No name set
Cortex-M7 216MHz
100 ms
340 kB
1024 kB
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F1-score
Precision
Recall
0.02 | 0.01 | 32
0.005 | 100
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 16 | 3 | - |
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| conv1d | 128 | 3 | - |
| dropout | - | - | 0.25 |
0.032 | 0.016 | 40
0.005 | 100
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv2d | 16 | 3 | - |
| conv2d | 32 | 3 | - |
| dropout | - | - | 0.25 |
0.02 | 0.01 | 32
0.005 | 100
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv1d | 16 | 3 | - |
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| dropout | - | - | 0.25 |
0.02 | 0.01 | 40
0.01 | 30
0.032 | 0.016 | 32
0.005 | 100
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv2d | 8 | 3 | - |
| conv2d | 16 | 3 | - |
| conv2d | 32 | 3 | - |
| conv2d | 64 | 3 | - |
| dropout | - | - | 0.25 |
0.032 | 0.032 | 32
0.005 | 100
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv2d | 32 | 3 | - |
| conv2d | 64 | 3 | - |
| dropout | - | - | 0.25 |
0.02 | 0.02 | 32
0.005 | 100
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv2d | 16 | 3 | - |
| conv2d | 32 | 3 | - |
| dropout | - | - | 0.25 |
0.02 | 0.02 | 40
0.005 | 100
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| conv1d | 128 | 3 | - |
| conv1d | 256 | 3 | - |
| dropout | - | - | 0.5 |
0.02 | 0.01 | 32
0.005 | 100
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv1d | 16 | 3 | - |
| conv1d | 32 | 3 | - |
| dropout | - | - | 0.5 |
0.02 | 0.01 | 32
0.005 | 100
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| dropout | - | - | 0.25 |
0.032 | 0.032 | 32
0.005 | 100
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv2d | 16 | 3 | - |
| conv2d | 32 | 3 | - |
| conv2d | 64 | 3 | - |
| conv2d | 128 | 3 | - |
| dropout | - | - | 0.5 |
0.032 | 0.016 | 40
0.005 | 100
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv2d | 8 | 3 | - |
| conv2d | 16 | 3 | - |
| conv2d | 32 | 3 | - |
| conv2d | 64 | 3 | - |
| dropout | - | - | 0.5 |
0.05 | 0.025 | 32
0.005 | 100
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv2d | 16 | 3 | - |
| conv2d | 32 | 3 | - |
| conv2d | 64 | 3 | - |
| conv2d | 128 | 3 | - |
| dropout | - | - | 0.25 |
0.05 | 0.05 | 32
0.005 | 100
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv2d | 32 | 3 | - |
| conv2d | 64 | 3 | - |
| dropout | - | - | 0.5 |
0.02 | 0.01 | 32
0.005 | 100
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| conv1d | 128 | 3 | - |
| dropout | - | - | 0.25 |
