-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…
-
```
The network training is fine without adding any contrast normalization layer
(all types), but ones add the contrast normalization layers, after several
iterations the net gets nan values. I tri…