From 69191c4b44d6d116aa9b0f408f1c8b0c08595519 Mon Sep 17 00:00:00 2001
From: xqwzhh <3229033990@qq.com>
Date: Mon, 30 Mar 2026 22:14:56 +0800
Subject: [PATCH 1/2] Modify GitHub Actions workflow for Docker build

Updated permissions to allow writing to contents and added token for checkout action.
---
 .github/workflows/build-docker.yml | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/build-docker.yml b/.github/workflows/build-docker.yml
index 71e1183c8..69d10c70d 100644
--- a/.github/workflows/build-docker.yml
+++ b/.github/workflows/build-docker.yml
@@ -21,7 +21,7 @@ on:
 
 permissions:
   id-token: write
-  contents: read
+  contents: write
 
 jobs:
   build_docker_image:
@@ -32,6 +32,8 @@ jobs:
         working-directory: ./ci/docker
     steps:
     - uses: actions/checkout@v3
+      with:
+        token: ${{ secrets.CI_PAT}}
     - name: Configure AWS Credentials
       uses: aws-actions/configure-aws-credentials@v2
       with:

From 420ff55d1c5f6ff070f778c234635d2f3beeb26b Mon Sep 17 00:00:00 2001
From: xqwzhh <3229033990@qq.com>
Date: Thu, 9 Apr 2026 20:52:31 +0800
Subject: [PATCH 2/2] =?UTF-8?q?docs:=E5=A2=9E=E5=8A=A0=E7=AC=AC=E4=B8=89?=
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Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 anaconda_projects/db/project_filebrowser.db     | Bin 0 -> 32768 bytes
 .../linear-regression-concise.md                |   4 ++++
 2 files changed, 4 insertions(+)
 create mode 100644 anaconda_projects/db/project_filebrowser.db

diff --git a/anaconda_projects/db/project_filebrowser.db b/anaconda_projects/db/project_filebrowser.db
new file mode 100644
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diff --git a/chapter_linear-networks/linear-regression-concise.md b/chapter_linear-networks/linear-regression-concise.md
index 7c52228f2..60b569b2d 100644
--- a/chapter_linear-networks/linear-regression-concise.md
+++ b/chapter_linear-networks/linear-regression-concise.md
@@ -393,8 +393,11 @@ trainer =  paddle.optimizer.SGD(learning_rate=0.03,
 
 ```{.python .input}
 num_epochs = 3
+# 遍历所有训练轮次
 for epoch in range(num_epochs):
+# 遍历数据迭代器中的每一批数据
     for X, y in data_iter:
+    
         with autograd.record():
             l = loss(net(X), y)
         l.backward()
@@ -407,6 +410,7 @@ for epoch in range(num_epochs):
 #@tab pytorch
 num_epochs = 3
 for epoch in range(num_epochs):
+# 遍历所有训练轮次
     for X, y in data_iter:
         l = loss(net(X) ,y)
         trainer.zero_grad()