Target
No name set
Raspberry Pi RP2040 (Cortex-M0+ 133MHz)
100 ms
264 kB
2048 kB
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General
F1-score
Precision
Recall
0.075 | 0.075 | -52
0.005 | 100
Type | Filters | Kernel | Rate |
---|---|---|---|
Data augmentation | |||
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
dropout | - | - | 0.5 |
0.05 | 0.05 | -32
0.005 | 100
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 8 | 3 | - |
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
dropout | - | - | 0.5 |
0.075 | 0.0375 | -52
0.005 | 100
Type | Filters | Kernel | Rate |
---|---|---|---|
Data augmentation | |||
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.5 |
0.075 | 0.075 | -52
0.005 | 100
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
dropout | - | - | 0.5 |
0.05 | 0.05 | -32
0.005 | 100
Type | Filters | Kernel | Rate |
---|---|---|---|
Data augmentation | |||
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.25 |
0.05 | 0.05 | -32
0.005 | 100
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 8 | 3 | - |
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.25 |
0.075 | 0.0375 | -32
0.005 | 100
Type | Filters | Kernel | Rate |
---|---|---|---|
Data augmentation | |||
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.25 |
0.075 | 0.0375 | -72
0.005 | 100
Type | Filters | Kernel | Rate |
---|---|---|---|
Data augmentation | |||
conv1d | 8 | 3 | - |
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.25 |
0.075 | 0.0375 | -72
0.005 | 100
Type | Filters | Kernel | Rate |
---|---|---|---|
Data augmentation | |||
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.25 |
0.075 | 0.075 | -52
0.005 | 100
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
dropout | - | - | 0.25 |
0.05 | 0.05 | -72
0.005 | 100
Type | Filters | Kernel | Rate |
---|---|---|---|
Data augmentation | |||
conv1d | 8 | 3 | - |
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.5 |
0.05 | 0.05 | -32
0.005 | 100
Type | Filters | Kernel | Rate |
---|---|---|---|
Data augmentation | |||
conv1d | 8 | 3 | - |
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.25 |
0.05 | 0.05 | -52
0.005 | 100
Type | Filters | Kernel | Rate |
---|---|---|---|
Data augmentation | |||
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.25 |
0.075 | 0.0375 | -72
0.005 | 100
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.5 |