diff --git a/docs/README.md b/docs/README.md index 0148b5fb1..92485e14b 100644 --- a/docs/README.md +++ b/docs/README.md @@ -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. \ No newline at end of file +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. diff --git a/docs/en/index.md b/docs/en/index.md index ab4357645..43e6f861e 100644 --- a/docs/en/index.md +++ b/docs/en/index.md @@ -35,18 +35,18 @@ This course concerns the latest techniques in deep learning and representation l - + Lecture - History and motivation + History and motivation 🖥️ 🎥 - Evolution and DL + Evolution and DL Practicum - Neural nets (NN) + Neural nets (NN) 📓 📓 @@ -55,17 +55,17 @@ This course concerns the latest techniques in deep learning and representation l - + Lecture - SGD and backprop + SGD and backprop 🖥️ - Backprop in practice + Backprop in practice Practicum - NN training + NN training 🖥 📓 @@ -74,17 +74,17 @@ This course concerns the latest techniques in deep learning and representation l - + Lecture - Parameter transformation + Parameter transformation 🖥️ - CNN + CNN Practicum - Natural signals' properties + Natural signals' properties 🖥 📓 @@ -92,26 +92,26 @@ This course concerns the latest techniques in deep learning and representation l - + Practicum - 1D convolutions + 1D convolutions 📓 - ⑤ + ⑤ Lecture - - + - 🖥️ - - + - Practicum - - + - diff --git a/docs/en/week02/02-3.md b/docs/en/week02/02-3.md index c80e78341..a17df6d2c 100644 --- a/docs/en/week02/02-3.md +++ b/docs/en/week02/02-3.md @@ -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**. diff --git a/docs/zh/index.md b/docs/zh/index.md index 0393c252f..1faeca028 100644 --- a/docs/zh/index.md +++ b/docs/zh/index.md @@ -48,18 +48,18 @@ translator: Mingyang Zhao - + 讲座 - 历史及动力 + 历史及动力 🖥️ 🎥 - 发展及深度学习 + 发展及深度学习 实践 - 神经网络 NN + 神经网络 NN 📓 📓 @@ -68,17 +68,17 @@ translator: Mingyang Zhao - + 讲座 - 随机梯度下降 SGD 及反向传播 + 随机梯度下降 SGD 及反向传播 🖥️ - 反向传播详解 + 反向传播详解 实践 - 训练神经网络 + 训练神经网络 🖥 📓 @@ -87,17 +87,17 @@ translator: Mingyang Zhao - + 讲座 - 参数转换 + 参数转换 🖥️ - 卷积神经网络 CNN + 卷积神经网络 CNN 实践 - 自然信号的性质 + 自然信号的性质 🖥 📓 @@ -105,26 +105,26 @@ translator: Mingyang Zhao - + 实践 - 一维卷积 + 一维卷积 📓 - ⑤ + ⑤ 讲座 - - + - 🖥️ - - + - 实践 - - + -