From dd45a4d37ff09ee8345ca4cadf8c75c17cadab8c Mon Sep 17 00:00:00 2001 From: abdulrahimq Date: Sat, 20 Mar 2021 11:17:59 -0400 Subject: [PATCH] fixed link redircting to older version of website and added new link for extra explanation --- docs/en/week02/02-3.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/en/week02/02-3.md b/docs/en/week02/02-3.md index 41070a19f..604aa2be1 100644 --- a/docs/en/week02/02-3.md +++ b/docs/en/week02/02-3.md @@ -244,7 +244,7 @@ $$ \frac{\partial \, J(\mathbf{\Theta})}{\partial \, \boldsymbol{W_y}} = \frac{\ The Jupyter notebook can be found [here](https://github.com/Atcold/pytorch-Deep-Learning-Minicourse/blob/master/04-spiral_classification.ipynb). In order to run the notebook, make sure you have `the dl-minicourse` environment installed as specified in [README.md](https://github.com/Atcold/pytorch-Deep-Learning-Minicourse/blob/master/README.md). -An explanation of how to use `torch.device()` can be found in [last week's notes](https://atcold.github.io/pytorch-Deep-Learning-Minicourse/en/week01/01-3/). +An explanation of how to use `torch.device()` can be found in [last week's notes](https://github.com/Atcold/pytorch-Deep-Learning-Minicourse/blob/master/01-tensor_tutorial.ipynb) and an example is shown in [this lecture](https://github.com/Atcold/pytorch-Deep-Learning-Minicourse/blob/master/04-spiral_classification.ipynb). Like before, we are going to be working with points in $\mathbb{R}^2$ with three different categorical labels -- in red, yellow and blue -- as can be seen in **Fig. 8**.