-
I am trying to train BIT1-XNOR tiny-yolov2 with input size 224x224. Here is my .cfg file.
[tiny-yolo-obj_xnor_new-224x224.zip](https://github.com/AlexeyAB/yolo2_light/files/2579921/tiny-yolo-obj_x…
-
Hi @AlexeyAB,
I am training and using a XNORNet version of cifar. However, when I went through the code I saw that it does not get accelerated for the "classifier" option. Darknet only uses xnor ac…
-
I am trying to train yolov3-tiny_xnor and getting the following output while testing on 2000 epochs.
```
layer filters size input output
0 conv 16 3 x …
-
I was wondering whether there is XNOR for ResNet. Or can you give some hints about how to implement it?
-
Hello.
I am using model **cifar-10** for training custom dataset.
**My data:**
```
{
train :
{
data : FloatTensor - size: 3000x3x96x96
labels : FloatTensor - size: 3000
…
-
Hi. Thank you for your uploading. I have downloaded NIN cifar10 pretrained model and load it. Then, I run the inference evaluation. At this time. the accuracy is just only 59.36%. In this evaluation, …
-
error: ValueError: ('Input has undefined rank:', TensorShape(None))
-
Do you think you would be interested in taking up the XNOR based implementation now? Or, at least do a proof of concept of MNIST/CIFAR XNOR network on an Intel CPU itself?
-
Hi Guys,
I don't understand how do you train your binary weights, if you use sign function, the gradient is broken at the sign function. And I didn't get how do you handle this (in XNor-Net paper,…
-
Hi!
Are there plans for making a low precision inference mode like many other neural network frameworks out there?
Would be really helpful for embedded applications where we have very limited memory…