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Dear Authors,
I am trying to reproduce the results of https://arxiv.org/pdf/1810.09026.pdf based on pytorch. The idea in this paper is very interesting. Before my implementation, I run the experime…
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![week3.png](https://i.loli.net/2020/04/06/cjZO5HoTvt2kfqd.png)
## Done
- [x] 学习莫烦的PyTorch教程基础
- [x] 上手YOLOv3检测过程的代码
### `3.30-4.2`
考虑到第一次用[官方的PyTorch入门文档](https://pytorch.org/tutorials/beg…
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**Problem:** In Stochastic Gradient Descent sometimes the descent will suddenly go unstable even with a step size set as low as you can go (limited by FLoat32 precision). This is not preventable wit…
cems2 updated
4 years ago
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I suggest a full that implements the optimizer but a trainable step size could be a good example too...
https://discuss.pytorch.org/t/implement-a-meta-trainable-step-size/70396
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Hi !
I'm a beginning in Machine Learning thanks to your book and thanks for all , it's very useful !
But , I'm blocked with mini-batch gradient descent ! In the book there is a function :
```pyt…
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Hello,
I'm thinking about adding a plot.BTM function to my BTM package using ggraph. BTM is good for clustering text (https://cran.r-project.org/web/packages/BTM/index.html).
In order to have a go…
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> 现在用的优化器SGD是stochastic gradient descent的缩写,但不代表是一个样本就更新一回,还是基于mini-batch的。
> 那 batch epoch iteration代表什么呢?
> (1)batchsize:批大小。在深度学习中,一般采用SGD训练,即每次训练在训练集中取batchsize个样本训练;
> (2)iteration:1个iteration…
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I'm quite new to this xgboost library, and sometimes get confused in the way it deals with data. Recently I'm dealing with bigger data using the same GPU, and confronting `bad_alloc` error. Can't I pa…
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When I train the 2 stages, I find that the loss changes in a small oscillation from beginning to end even if it falls in a general. I think it is unrelated to the fix of learning rate for I just use t…
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When trying to run the test-suite on a fresh installation it breaks.
Long story short, doctests require `PIL` and `test_lda_predict` fails as well.
This has been done in a Linux machine. @martinag…