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18 changes: 9 additions & 9 deletions docs/README.md
Expand Up @@ -56,16 +56,16 @@ If you need to add one more chapter or section, you will need to edit the `_conf

```yaml
en:
- path: en/01.md
- path: en/week01/01.md
sections:
- path: en/01-1.md
- path: en/01-2.md
- path: en/01-3.md
- path: en/02.md
- path: en/week01/01-1.md
- path: en/week01/01-2.md
- path: en/week01/01-3.md
- path: en/week02/02.md
sections:
- path: en/02-1.md
- path: en/02-2.md
- path: en/02-3.md
- path: en/week02/02-1.md
- path: en/week02/02-2.md
- path: en/week02/02-3.md
```

The images for a given `section` will be fetched from a folder having the same name of the `section`'s file name, without considering the file extension. So, images for the file `02-2.md` will be automatically retrieved from the `02-2\` directory. The file will not be rendered well here in the repo, but `jekyll` will do a good job on the besite.
The images for a given `section` will be fetched from a folder having the same name of the `section`'s file name, without considering the file extension. So, images for the file `02-2.md` will be automatically retrieved from the `02-2\` directory. The file will not be rendered well here in the repo, but `jekyll` will do a good job on the besite.
36 changes: 18 additions & 18 deletions docs/en/index.md
Expand Up @@ -35,18 +35,18 @@ This course concerns the latest techniques in deep learning and representation l
<tbody>
<!-- =============================== WEEK 1 ================================ -->
<tr>
<td rowspan="3" align="center"><a href="en/01">①</a></td>
<td rowspan="3" align="center"><a href="en/week01/01">①</a></td>
<td rowspan="2">Lecture</td>
<td><a href="en/01-1">History and motivation</a></td>
<td><a href="en/week01/01-1">History and motivation</a></td>
<td rowspan="2">
<a href="https://drive.google.com/open?id=1Q7LtZyIS1f3TfeTGll3aDtWygh3GAfCb">🖥️</a>
<a href="https://www.youtube.com/watch?v=0bMe_vCZo30">🎥</a>
</td>
</tr>
<tr><td><a href="en/01-2">Evolution and DL</a></td></tr>
<tr><td><a href="en/week01/01-2">Evolution and DL</a></td></tr>
<tr>
<td rowspan="1">Practicum</td>
<td><a href="en/01-3">Neural nets (NN)</a></td>
<td><a href="en/week01/01-3">Neural nets (NN)</a></td>
<td>
<a href="https://github.com/Atcold/pytorch-Deep-Learning/blob/master/01-tensor_tutorial.ipynb">📓</a>
<a href="https://github.com/Atcold/pytorch-Deep-Learning/blob/master/02-space_stretching.ipynb">📓</a>
Expand All @@ -55,17 +55,17 @@ This course concerns the latest techniques in deep learning and representation l
</tr>
<!-- =============================== WEEK 2 ================================ -->
<tr>
<td rowspan="3" align="center"><a href="en/02">②</a></td>
<td rowspan="3" align="center"><a href="en/week02/02">②</a></td>
<td rowspan="2">Lecture</td>
<td><a href="en/02-1">SGD and backprop</a></td>
<td><a href="en/week02/02-1">SGD and backprop</a></td>
<td rowspan="2">
<a href="https://drive.google.com/open?id=1w2jV_BT2hWzfOKBR02x_rB4-dfVUI6SR">🖥️</a>
</td>
</tr>
<tr><td><a href="en/02-2">Backprop in practice</a></td></tr>
<tr><td><a href="en/week02/02-2">Backprop in practice</a></td></tr>
<tr>
<td rowspan="1">Practicum</td>
<td><a href="en/02-3">NN training</a></td>
<td><a href="en/week02/02-3">NN training</a></td>
<td>
<a href="https://github.com/Atcold/pytorch-Deep-Learning/blob/master/slides/01%20-%20Spiral%20classification.pdf">🖥</a>
<a href="https://github.com/Atcold/pytorch-Deep-Learning/blob/master/04-spiral_classification.ipynb">📓</a>
Expand All @@ -74,44 +74,44 @@ This course concerns the latest techniques in deep learning and representation l
</tr>
<!-- =============================== WEEK 3 ================================ -->
<tr>
<td rowspan="3" align="center"><a href="en/03">③</a></td>
<td rowspan="3" align="center"><a href="en/week03/03">③</a></td>
<td rowspan="2">Lecture</td>
<td><a href="en/03-1">Parameter transformation</a></td>
<td><a href="en/week03/03-1">Parameter transformation</a></td>
<td rowspan="2">
<a href="https://drive.google.com/open?id=18UFaOGNKKKO5TYnSxr2b8dryI-PgZQmC">🖥️</a>
</td>
</tr>
<tr><td><a href="en/03-2">CNN</a></td></tr>
<tr><td><a href="en/week03/03-2">CNN</a></td></tr>
<tr>
<td rowspan="1">Practicum</td>
<td><a href="en/03-3">Natural signals' properties</a></td>
<td><a href="en/week03/03-3">Natural signals' properties</a></td>
<td>
<a href="https://github.com/Atcold/pytorch-Deep-Learning/blob/master/slides/02%20-%20CNN.pdf">🖥</a>
<a href="https://github.com/Atcold/pytorch-Deep-Learning/blob/master/06-convnet.ipynb">📓</a>
</td>
</tr>
<!-- =============================== WEEK 4 ================================ -->
<tr>
<td rowspan="1" align="center"><a href="en/04">④</a></td>
<td rowspan="1" align="center"><a href="en/week04/04">④</a></td>
<td rowspan="1">Practicum</td>
<td><a href="en/04-1">1D convolutions</a></td>
<td><a href="en/week04/04-1">1D convolutions</a></td>
<td>
<a href="https://github.com/Atcold/pytorch-Deep-Learning/blob/master/07-listening_to_kernels.ipynb">📓</a>
</td>
</tr>
<!-- =============================== WEEK 5 ================================ -->
<tr>
<td rowspan="3" align="center"><a href="en/05"></a>⑤</td>
<td rowspan="3" align="center"><a href="en/week05/05"></a>⑤</td>
<td rowspan="2">Lecture</td>
<td><a href="en/05-1"></a>-</td>
<td><a href="en/week05/05-1"></a>-</td>
<td rowspan="2">
<a href="https://drive.google.com/open?id=1pwlGN6hDFfEYQqBqcMjWbe4yfBDTxsab">🖥️</a>
</td>
</tr>
<tr><td><a href="en/05-2"></a>-</td></tr>
<tr><td><a href="en/week05/05-2"></a>-</td></tr>
<tr>
<td rowspan="1">Practicum</td>
<td><a href="en/05-3"></a>-</td>
<td><a href="en/week05/05-3"></a>-</td>
<td>
</td>
</tr>
Expand Down
2 changes: 1 addition & 1 deletion docs/en/week02/02-3.md
Expand Up @@ -237,7 +237,7 @@ $$ \frac{\partial \, J(\mathcal{\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/01-3/).
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/).

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
36 changes: 18 additions & 18 deletions docs/zh/index.md
Expand Up @@ -48,18 +48,18 @@ translator: Mingyang Zhao
<tbody>
<!-- =============================== WEEK 1 ================================ -->
<tr>
<td rowspan="3" align="center"><a href="/zh/01">①</a></td>
<td rowspan="3" align="center"><a href="/zh/week01/01">①</a></td>
<td rowspan="2">讲座</td>
<td><a href="/zh/01-1">历史及动力</a></td>
<td><a href="/zh/week01/01-1">历史及动力</a></td>
<td rowspan="2">
<a href="https://drive.google.com/open?id=1Q7LtZyIS1f3TfeTGll3aDtWygh3GAfCb">🖥️</a>
<a href="https://www.youtube.com/watch?v=0bMe_vCZo30">🎥</a>
</td>
</tr>
<tr><td><a href="/zh/01-2">发展及深度学习</a></td></tr>
<tr><td><a href="/zh/week01/01-2">发展及深度学习</a></td></tr>
<tr>
<td rowspan="1">实践</td>
<td><a href="/zh/01-3">神经网络 NN</a></td>
<td><a href="/zh/week01/01-3">神经网络 NN</a></td>
<td>
<a href="https://github.com/Atcold/pytorch-Deep-Learning/blob/master/01-tensor_tutorial.ipynb">📓</a>
<a href="https://github.com/Atcold/pytorch-Deep-Learning/blob/master/02-space_stretching.ipynb">📓</a>
Expand All @@ -68,17 +68,17 @@ translator: Mingyang Zhao
</tr>
<!-- =============================== WEEK 2 ================================ -->
<tr>
<td rowspan="3" align="center"><a href="/zh/02">②</a></td>
<td rowspan="3" align="center"><a href="/zh/week02/02">②</a></td>
<td rowspan="2">讲座</td>
<td><a href="/zh/02-1">随机梯度下降 SGD 及反向传播</a></td>
<td><a href="/zh/week02/02-1">随机梯度下降 SGD 及反向传播</a></td>
<td rowspan="2">
<a href="https://drive.google.com/open?id=1w2jV_BT2hWzfOKBR02x_rB4-dfVUI6SR">🖥️</a>
</td>
</tr>
<tr><td><a href="/zh/02-2">反向传播详解</a></td></tr>
<tr><td><a href="/zh/week02/02-2">反向传播详解</a></td></tr>
<tr>
<td rowspan="1">实践</td>
<td><a href="/zh/02-3">训练神经网络</a></td>
<td><a href="/zh/week02/02-3">训练神经网络</a></td>
<td>
<a href="https://github.com/Atcold/pytorch-Deep-Learning/blob/master/slides/01%20-%20Spiral%20classification.pdf">🖥</a>
<a href="https://github.com/Atcold/pytorch-Deep-Learning/blob/master/04-spiral_classification.ipynb">📓</a>
Expand All @@ -87,44 +87,44 @@ translator: Mingyang Zhao
</tr>
<!-- =============================== WEEK 3 ================================ -->
<tr>
<td rowspan="3" align="center"><a href="/zh/03">③</a></td>
<td rowspan="3" align="center"><a href="/zh/week03/03">③</a></td>
<td rowspan="2">讲座</td>
<td><a href="/zh/03-1">参数转换</a></td>
<td><a href="/zh/week03/03-1">参数转换</a></td>
<td rowspan="2">
<a href="https://drive.google.com/open?id=18UFaOGNKKKO5TYnSxr2b8dryI-PgZQmC">🖥️</a>
</td>
</tr>
<tr><td><a href="/zh/03-2">卷积神经网络 CNN</a></td></tr>
<tr><td><a href="/zh/week03/03-2">卷积神经网络 CNN</a></td></tr>
<tr>
<td rowspan="1">实践</td>
<td><a href="/zh/03-3">自然信号的性质</a></td>
<td><a href="/zh/week03/03-3">自然信号的性质</a></td>
<td>
<a href="https://github.com/Atcold/pytorch-Deep-Learning/blob/master/slides/02%20-%20CNN.pdf">🖥</a>
<a href="https://github.com/Atcold/pytorch-Deep-Learning/blob/master/06-convnet.ipynb">📓</a>
</td>
</tr>
<!-- =============================== WEEK 4 ================================ -->
<tr>
<td rowspan="1" align="center"><a href="/zh/04">④</a></td>
<td rowspan="1" align="center"><a href="/zh/week04/04">④</a></td>
<td rowspan="1">实践</td>
<td><a href="/zh/04-1">一维卷积</a></td>
<td><a href="/zh/week04/04-1">一维卷积</a></td>
<td>
<a href="https://github.com/Atcold/pytorch-Deep-Learning/blob/master/07-listening_to_kernels.ipynb">📓</a>
</td>
</tr>
<!-- =============================== WEEK 5 ================================ -->
<tr>
<td rowspan="3" align="center"><a href="/zh/05"></a>⑤</td>
<td rowspan="3" align="center"><a href="/zh/week05/05"></a>⑤</td>
<td rowspan="2">讲座</td>
<td><a href="/zh/05-1"></a>-</td>
<td><a href="/zh/week05/05-1"></a>-</td>
<td rowspan="2">
<a href="https://drive.google.com/open?id=1pwlGN6hDFfEYQqBqcMjWbe4yfBDTxsab">🖥️</a>
</td>
</tr>
<tr><td><a href="/zh/05-2"></a>-</td></tr>
<tr><td><a href="/zh/week05/05-2"></a>-</td></tr>
<tr>
<td rowspan="1">实践</td>
<td><a href="/zh/05-3"></a>-</td>
<td><a href="/zh/week05/05-3"></a>-</td>
<td>
</td>
</tr>
Expand Down

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