The EON Tuner helps you find the most optimal architecture for your embedded machine-learning application. Clone this project to use the EON Tuner.
Target
No name set
Raspberry Pi 4
100 ms
8388608 kB
33554432 kB
Filters
Status
DSP type
Model type
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Data set
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General
F1-score
Precision
Recall
PERFORMANCE
LATENCY
44 ms of
100 ms
RAM
30 kB of
8388608 kB
ROM
59 kB of
33554432 kB
DSP
NN
Unused
IMAGE INPUT
32
|
32
IMAGE
Grayscale
ACCURACY (KERAS)
CLASSIFICATION (KERAS)
0.0005 | 10 | 62%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv2d | 16 | 3 | - |
| conv2d | 32 | 3 | - |
| conv2d | 64 | 3 | - |
| dropout | - | - | 0.25 |
6/3/2022, 5:23:06 AM
Training output
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