Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fixed link redircting to older version of website and added new link … #768

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

fixed link redircting to older version of website and added new link … #768

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion docs/en/week02/02-3.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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).
Copy link
Owner

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

This is the correct URL.

Suggested change
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).
An explanation of how to use `torch.device()` can be found in [last week's notes](https://atcold.github.io/pytorch-Deep-Learning/en/week01/01-3/).


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**.

Expand Down