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It would be easy to break such a system and cause mis-tagging by using these libraries as a demonstration on the weakness of using NN for automated image tagging.
- https://github.com/tensorflow/clev…
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Post questions here for this week's oritenting readings:
Te’eni, D., Yahav, I., Zagalsky, A., Schwartz, D., Silverman, G., Cohen, D., Mann, Y., & Lewinsky, D. 2023. [Reciprocal Human-Machine Learn…
lkcao updated
4 months ago
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# Siraj's Image Generation
## Unsupervised Learning
- 如果我们没有labels,那么我们还能够训练神经网络吗?
- 这时候我们就要用到一个model叫-Variational AutoEncoder。
# Autoencoders(自编码器)
- 这个模型用于压缩数据、图像去噪。(这些功能是从数据本身中学习得到的,而不是人为设定的…
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**How many people have the job title of "Lawyer" ?**
```python
select_lawyer = sal['Job'] == 'Lawyer'
sal[select_lawyer].shape[0]
```
Could've been done with
```python
sum(sal['Job']=='…
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Hi!
This issue aims at discussing about implementing the Barwise TF matrix in the MSAF toolbox. The Barwise TF matrix is a feature representation sampled on bars, with a fixed number of frames per ba…
ax-le updated
6 months ago
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노션이나 블로그나 컨플루언스 등등은 copy&paste할때 불편해서 여기다가 정리
- NeuMan을 인용한 논문 최신순 https://scholar.google.com/scholar?hl=ko&as_sdt=2005&sciodt=0,5&cites=4308511704577688456&scipsc=&q=&scisbd=1
- 원래는 RANA(nvidia 논문,…
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- **PCA**: technique for reducing the dimensionality of a dataset, increasing interpretability but at the same time minimizing information loss. It does so by creating new uncorrelated variables that …
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Thank you @bnachman and @matthewfeickert for maintaining this living review! It is a valuable resource
Is there interest in adding high energy physics papers that use principal component analysis? …
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Hi, I looked closely at the posted code and noticed that the sampling process is different from the original DDPM and the labels for the training process are different, the DDPM is noise and here you …