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from: @jack-bilby :
> 12: aperm.default(X, c(s.call, s.ans))
> 11: aperm(X, c(s.call, s.ans))
> 10: apply(x, 1, function(y) (sum(is.na(y))/length(y)) > maxNA.fraction)
> 9: which(apply(x, 1, fun…
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Post questions here for this week's fundamental readings:
Goodfellow, Ian, Yoshua Bengio, and Aaron Courville. 2016. Deep learning. Chapter 12.2 [“Convolutional Networks.”](http://www.deeplearning…
lkcao updated
8 months ago
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Hello
Run grab_det.py, after 10000 steps, the loss is stable at 30000-40000, and how much is the reasonable loss!
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#
1. [ cheat sheet about DL/ML architectures](http://www.asimovinstitute.org/neural-network-zoo/)
2. http://deeplearninggallery.com/ - Deep Learning Gallery - a curated list of awesome deep l…
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Are the sensors for MetrLA correct? In the file graph_sensor_ids.txt, all the sensor IDs start with 7, but it corresponds neither to the PeMS sensors nor the MetrLA sensors. Is there any use for that …
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I have created an example network in this repository to experiment with, where I created a simple feed-forward network and exported it to ONNX. After experimenting with ONNX, I believe we should not u…
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## 2024.04.25 발표
- Tan, Mingxing. "Efficientnet: Rethinking model scaling for convolutional neural networks." arXiv preprint arXiv:1905.11946 (2019). (https://arxiv.org/pdf/1905.11946)
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Hi,
I just had a few questions regarding using our own data and running inference using PENet pretrained weights.
1) How sparse can the depth map be?
Currently, my inference image is from the …
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Hey, you have showed such an amazing work to train NNs in C++.
I would like to know what are the reasons for which you started training models in C++ instead of python? Because once the model definiti…
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The reason to rewrite the 'class LayerNorm(nn.Module)' is that you think the layer normal provided by PyTorch only supports 'channels_last' format (batch_size, height, width, channels), so you rewrite…