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## Quantization Method for conv, deconv and fc Layers.
Here I want to implement the quanzization on operation in conv, deconv and fc layers. Much quantization method are included in this paper: Ristr…
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Now I want to learn a vector from a picture. Because the output is a vector, I use fit() to train and the loss function is cross_entropy. And I need to use relu as the active function for all layers.…
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Hi, I try to use such architecture:
```
network net;
net
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I would like to ask if using semi-supervised methods such as dividemix will have competitive performance with this noisy label setting?
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Since we sometimes see issues with kernels on very short vector sizes and sometimes on larger vector sizes, we should run all tests on ~3 vector sizes. I suggest 127, 8091, and 2^17-1 (current default…
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I am using following specifications:
Ubuntu 18.04LTS
GPU = GeForce MX130
CUDA = 10.0.130 (Thats what nvcc -V says)
Driver = NVIDIA-418.67 (CUDA-10.1)(That's what nvidia-smi says)
But I installe…
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Hi, @huijuan88 , thank you for sharing your code!
In the paper "R-C3D: Region Convolutional 3D Network for Temporal Activity Detection", it is said the each video is divided into several segments of …
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i ran this code on my pc.
but after installation of Anaconda2, i does not works.
several errors were occurred but i solved it(like GOMP4.0 or gcc errors)
and finally i ran this code on my ubu…
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Hi, I want to extend the model on my own task, will you release pre-trained weights?
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How did you do the project? Can you give me a way to contact you for more details. I just doubt about finetune the network with only 6 pictures.What leads to the good result? The Imagenet parameters?L…