revise gluonbook and how to use

chapter_appendix/gluonbook.md

@@ -3,34 +3,34 @@
 
 函数，定义所在章节
 
-* `data_iter`，[线性回归——从零开始](../chapter_supervised-learning/linear-regression-scratch.md)
+* `data_iter`，[线性回归的从零开始实现](../chapter_deep-learning-basics/linear-regression-scratch.md)
 
-* `linreg`，[线性回归——从零开始](../chapter_supervised-learning/linear-regression-scratch.md)
+* `linreg`，[线性回归的从零开始实现](../chapter_deep-learning-basics/linear-regression-scratch.md)
 
-* `squared_loss`，[线性回归——从零开始](../chapter_supervised-learning/linear-regression-scratch.md)
+* `squared_loss`，[线性回归的从零开始实现](../chapter_deep-learning-basics/linear-regression-scratch.md)
 
-* `sgd`，[线性回归——从零开始](../chapter_supervised-learning/linear-regression-scratch.md)
+* `sgd`，[线性回归的从零开始实现](../chapter_deep-learning-basics/linear-regression-scratch.md)
 
-* `plt`，[线性回归——从零开始](../chapter_supervised-learning/linear-regression-scratch.md)
+* `plt`，[线性回归的从零开始实现](../chapter_deep-learning-basics/linear-regression-scratch.md)
 
-* `accuracy`，[Softmax回归——从零开始](../chapter_supervised-learning/softmax-regression-scratch.md)
+* `accuracy`，[Softmax回归的从零开始实现](../chapter_deep-learning-basics/softmax-regression-scratch.md)
 
-* `evaluate_accuracy`，[Softmax回归——从零开始](../chapter_supervised-learning/softmax-regression-scratch.md)
+* `evaluate_accuracy`，[Softmax回归的从零开始实现](../chapter_deep-learning-basics/softmax-regression-scratch.md)
 
-* `load_data_fashion_mnist`，[Softmax回归——从零开始](../chapter_supervised-learning/softmax-regression-scratch.md)
+* `load_data_fashion_mnist`，[Softmax回归的从零开始实现](../chapter_deep-learning-basics/softmax-regression-scratch.md)
 
-* `train_cpu`，[Softmax回归——从零开始](../chapter_supervised-learning/softmax-regression-scratch.md)
+* `train_cpu`，[Softmax回归的从零开始实现](../chapter_deep-learning-basics/softmax-regression-scratch.md)
 
-* `semilogy`，[欠拟合和过拟合](../chapter_supervised-learning/underfit-overfit.md)
+* `semilogy`，[欠拟合、过拟合和模型选择](../chapter_deep-learning-basics/underfit-overfit.md)
 
-* `to_onehot`，[循环神经网络——从零开始](../chapter_recurrent-neural-networks/rnn-scratch.md)
+* `to_onehot`，[循环神经网络](../chapter_recurrent-neural-networks/rnn.md)
 
-* `data_iter_random`，[循环神经网络——从零开始](../chapter_recurrent-neural-networks/rnn-scratch.md)
+* `data_iter_random`，[循环神经网络](../chapter_recurrent-neural-networks/rnn.md)
 
-* `data_iter_consecutive`，[循环神经网络——从零开始](../chapter_recurrent-neural-networks/rnn-scratch.md)
+* `data_iter_consecutive`，[循环神经网络](../chapter_recurrent-neural-networks/rnn.md)
 
-* `grad_clipping`，[循环神经网络——从零开始](../chapter_recurrent-neural-networks/rnn-scratch.md)
+* `grad_clipping`，[循环神经网络](../chapter_recurrent-neural-networks/rnn.md)
 
-* `predict_rnn`，[循环神经网络——从零开始](../chapter_recurrent-neural-networks/rnn-scratch.md)
+* `predict_rnn`，[循环神经网络](../chapter_recurrent-neural-networks/rnn.md)
 
-* `train_and_predict_rnn`，[循环神经网络——从零开始](../chapter_recurrent-neural-networks/rnn-scratch.md)
+* `train_and_predict_rnn`，[循环神经网络](../chapter_recurrent-neural-networks/rnn.md)

chapter_introduction/how-to-use.md

@@ -36,10 +36,15 @@
 
 ## 视频课程
 
-本书作者曾在网上直播教学《动手学深度学习》系列课程。这套课程的视频录像可在Bilibili网站或Youtube网站上收看：
+本书作者曾在网上直播教学《动手学深度学习》系列课程。这套课程的视频录像可在Bilibili网站或Youtube网站上收看。
 
-* Bilibili网站的视频教程地址：goo.gl/gBVfAo
-* Youtube网站的视频教程地址：goo.gl/Pz1wSq
+* 扫码直达[Bilibili网站的视频教程](https://space.bilibili.com/209599371/#/channel/detail?cid=23541)：
+
+![](../img/qr_lectures_bilibili.svg)
+
+* 扫码直达[Youtube网站的视频教程](https://www.youtube.com/watch?v=kGktiYF5upk&list=PLLbeS1kM6teJqdFzw1ICHfa4a1y0hg8Ax)：
+
+![](../img/qr_lectures_youtube.svg)
 
 本书基于观众反馈意见对视频课程内容做了部分修改。如果视频与本书有内容不一致，请以本书内容为准。