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The order of operations when using all singular values is currently sqrt(trace(T'T)) - note this is not the case when using topK.
Equation (10) in Andrew's original paper due to notation is slightl…
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- [Machine Learning on Local or Cloud based NVidia or Apple GPUs](https://github.com/ObrienlabsDev/blog/wiki/Machine-Learning-on-local-or-Cloud-based-NVidia-or-Apple-GPUs)
https://github.com/Obrienla…
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Post your questions here about: “[Training and Taming Deep Networks](https://docs.google.com/document/d/1gne-oWcJs1p5sEjUumapq6HKeaOet3EHxJ-Ij0LuTro/edit?usp=sharing)” OR “[The Expanding Universe of D…
lkcao updated
2 years ago
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supervised
unsupervised
classification problem
linear regression problem
logistic regression problem
squared loss
mean square error(MSE): average squared loss per example over the whole dat…
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您好:
請問我使用自己準備的梅爾頻譜圖資料集(圖片大小432x288)在訓練完一個epoch後就會沒有反應停在原地,可能是發生了甚麼狀況呢?
```
Number of devices: 1
Configurations:
----------------------------------------------------------------------
| …
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Hi, is it possible to run a subsection of these versions of CCA on GPU? If so, would you please write down a short example?
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I am working on a simple MNIST example. I found that I could not compute the NTK for the entire dataset without running out of memory. Below is the code snippet I used:
```python
import neural_tan…
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In particular, the logic for merging different fixed variable descriptors for composite costs, such as SumOfCosts, is tricky.
See https://github.com/lisa-lab/pylearn2/pull/355/files#L3R311
We should …
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Hi @hiroyuki-kasai ,
Thanks for publishing this project. This looks great and I would like do some research with this toolbox.
My trouble is in the sgd_cm.m. It looks like containing two moment…
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# Abstract
Generative Adversarial Networks(GAN)은 데이터 생성에서 뛰어난 모습을 보이고 있다. 많은 영역에서 쓰이고 있지만 여전히 안정적인 학습에는 어려움이 따른다. 문제점으로는 Nash-equilibrium, internal covariate shift, mode collapse, vanishing gradient,…