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
Cortex-M7 216MHz
100 ms
340 kB
1024 kB
Filters
Status
DSP type
Model type
View
Data set
Variant
Sort
General
F1-score
Precision
Recall
PERFORMANCE
LATENCY
538 ms of
100 ms
Exceeds target by 438 ms
RAM
512 kB of
340 kB
Exceeds target by 172 kB
ROM
138 kB of
1024 kB
DSP
NN
Unused
IMAGE INPUT
160
|
160
IMAGE
RGB
REGRESSION
0.0005 | 100 | 23%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv2d | 16 | 3 | - |
| conv2d | 32 | 3 | - |
| conv2d | 64 | 3 | - |
| conv2d | 128 | 3 | - |
| dropout | - | - | 0.25 |
5/31/2024, 3:13:09 PM
Training output
Hide
Click 'Run EON Tuner' to begin
