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
Sony Spresense (Cortex-M4F 156MHz)
100 ms
1536 kB
8096 kB
Filters
Status
DSP type
Model type
View
Data set
Variant
Sort
General
F1-score
Precision
Recall
PERFORMANCE
LATENCY
3976 ms of
100 ms
Exceeds target by 3876 ms
RAM
51 kB of
1536 kB
ROM
42 kB of
8096 kB
DSP
NN
Unused
IMAGE INPUT
64
|
64
IMAGE
RGB
CLASSIFICATION (KERAS)
0.0005 | 10 | 33%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv2d | 8 | 3 | - |
| conv2d | 16 | 3 | - |
| dropout | - | - | 0.25 |
8/25/2022, 12:23:21 AM
Training output
Hide
Click 'Run EON Tuner' to begin
