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Hi, I used your model to finetune my training data, and it worked well! But I noticed that the the forward processing time is 3 times larger than caffe alexnet(0.09s vs 0.03s).
The paper says this m…
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test model: Alexnet, Vgg16, Resnet50, Restnet101,
CUDA version: cuda-9.0,
CUDNN version: cudnn7.6
Operating system: v100, 1080ti
use caffe time to test speed
./build/tools/caffe time --model al…
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I have trained a alexnet DagNN model from the scratch with my own dataset. I went through the code available at matconvnet / examples / imagenet / cnn_imagenet_evaluate.m to identify how to evaluate t…
ghost updated
7 years ago
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I have trained a alexNet model from the scratch, with my own dataset. Kindly let me know the syntax for saving the trained DagNN model in .mat format, for further evaluation.
ghost updated
7 years ago
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environment:
python:3.7.5 (default, Oct 25 2019, 15:51:11)
[GCC 7.3.0]
pytorch:0.4.1.post2
my code:
import tensorwatch as tw
import time
import torchvision
net = torchvision.models.alexnet(…
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## detail | 详细描述 | 詳細な説明
The [link](http://dl.caffe.berkeleyvision.org/bvlc_alexnet.caffemodel) referenced in [use ncnn with alexnet.zh](https://github.com/Tencent/ncnn/wiki/use-ncnn-with-alexnet.zh)…
hygxy updated
3 years ago
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Thanks for the dataset. None of your onnx model dataset is not working on onnx-runtime. I tried to convert it to PyTorch also is not working. For example while try to run this model dataset/multi_plat…
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Hi, Thanks for you codes. What is the following sentence function to achieve?
caffe_model_decompress (netmodel, "alexnet_xx.caffemodel", "alexnetzip.npz")
Why is the output of alexnet_xx.caffemode…
LXWDL updated
7 years ago
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Currently, if I were to use Gluon Model Zoo and use any model for eg DenseNet, I face 2 issues regarding APIs
a. Lack of clarity about differences in the APIs (Titlecase vs lowercase)
E.g.
`mxnet.g…
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Should we implement grouped convolutions in Alexnet baseline and attention model, or only use straightforward conv layers? If using groups, how many groups should we use?
Also, should we consider usi…