EON Tuner
Target
No name set
Motion events
MacBook Pro 16" 2020 (Intel Core i9 2.4GHz)
30 ms
4096 kB
4096 kB
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General
F1-score
Precision
Recall
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0000105 | 999
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 33 | - | - |
dense | 25 | - | - |
10/6/2022, 4:39:55 PM
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0005 | 30
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.5 |
10/6/2022, 5:02:15 PM
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0005 | 30
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
dropout | - | - | 0.25 |
10/6/2022, 4:42:10 PM
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0005 | 30
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 40 | - | - |
dense | 20 | - | - |
dropout | - | - | 0.25 |
10/6/2022, 4:46:13 PM
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0005 | 30
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
dropout | - | - | 0.25 |
10/6/2022, 4:57:46 PM
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0005 | 30
Type | Filters | Kernel | Rate |
---|---|---|---|
conv2d | 16 | 3 | - |
conv2d | 32 | 3 | - |
conv2d | 64 | 3 | - |
dropout | - | - | 0.25 |
10/6/2022, 5:00:53 PM
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0005 | 30
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dropout | - | - | 0.25 |
10/6/2022, 5:09:18 PM
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0005 | 30
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
dropout | - | - | 0.5 |
10/6/2022, 5:12:55 PM
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0005 | 30
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dense | 5 | - | - |
dropout | - | - | 0.5 |
10/6/2022, 4:40:22 PM
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0005 | 30
Type | Filters | Kernel | Rate |
---|---|---|---|
conv2d | 8 | 3 | - |
conv2d | 16 | 3 | - |
dropout | - | - | 0.25 |
10/6/2022, 4:46:08 PM
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0005 | 30
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.5 |
10/6/2022, 4:48:33 PM
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0005 | 30
Type | Filters | Kernel | Rate |
---|---|---|---|
dense | 20 | - | - |
dense | 10 | - | - |
dense | 5 | - | - |
dropout | - | - | 0.25 |
10/6/2022, 4:48:33 PM
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0005 | 30
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 8 | 3 | - |
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.5 |
10/6/2022, 4:50:42 PM
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0005 | 30
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
conv1d | 64 | 3 | - |
dropout | - | - | 0.5 |
10/6/2022, 4:53:52 PM
30 ms | 30 ms
Parameter | Value |
---|---|
scale-axes | 1 |
implementationVersion | 1 |
0.0005 | 30
Type | Filters | Kernel | Rate |
---|---|---|---|
conv1d | 8 | 3 | - |
conv1d | 16 | 3 | - |
conv1d | 32 | 3 | - |
dropout | - | - | 0.25 |
10/6/2022, 4:56:52 PM