From 4737d226a370c166b9270172bd65059669f6c872 Mon Sep 17 00:00:00 2001
From: Lry89757 <77330637+LRY89757@users.noreply.github.com>
Date: Thu, 15 Sep 2022 10:40:37 +0800
Subject: [PATCH 1/3] Update faq.md

---
 docs/faq.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/faq.md b/docs/faq.md
index 4701414c57d..e739176decb 100644
--- a/docs/faq.md
+++ b/docs/faq.md
@@ -111,7 +111,7 @@
 
 # 怎样添加ncnn库到项目中？cmake方式怎么用？
 
-编译ncnn，make install。linux/windows set/export ncnn_DIR 指向 isntall目录下下包含ncnnConfig.cmake 的目录
+编译ncnn，make install。linux/windows set/export ncnn_DIR 指向 install目录下下包含ncnnConfig.cmake 的目录
 
 - ## android
 

From 644863a4229602d4c6e72b55c09ca44c89e182a6 Mon Sep 17 00:00:00 2001
From: Lry89757 <77330637+LRY89757@users.noreply.github.com>
Date: Thu, 15 Sep 2022 10:45:48 +0800
Subject: [PATCH 2/3] Update faq.md

---
 docs/faq.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/faq.md b/docs/faq.md
index e739176decb..8d72b792dfa 100644
--- a/docs/faq.md
+++ b/docs/faq.md
@@ -111,7 +111,7 @@
 
 # 怎样添加ncnn库到项目中？cmake方式怎么用？
 
-编译ncnn，make install。linux/windows set/export ncnn_DIR 指向 install目录下下包含ncnnConfig.cmake 的目录
+编译ncnn，make install。linux/windows set/export ncnn_DIR 指向 install目录下包含ncnnConfig.cmake 的目录
 
 - ## android
 

From 79d87107981ec213d37d77cf9165b36892725027 Mon Sep 17 00:00:00 2001
From: Lry89757 <77330637+LRY89757@users.noreply.github.com>
Date: Thu, 15 Sep 2022 10:49:06 +0800
Subject: [PATCH 3/3] Update faq.en.md

---
 docs/faq.en.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/faq.en.md b/docs/faq.en.md
index 8675a2fc9d5..072d0b33e26 100644
--- a/docs/faq.en.md
+++ b/docs/faq.en.md
@@ -216,7 +216,7 @@ Fully customizable op, first change to one that can export (e.g. concat slice),
 
    2. [Learn in 5 minutes! Converting TorchScript models to ncnn models with PNNX](https://zhuanlan.zhihu.com/p/427512763)
 
-# 使用
+# Using
 
 - ## vkEnumeratePhysicalDevices failed -3
 
@@ -290,4 +290,4 @@ Fully customizable op, first change to one that can export (e.g. concat slice),
    ncnn::Mat in1(60, (void*)testData.data()).reshape(4, 5, 3); // just pass the pointer to the float data as a void*, and even specify the dimension (up says it's best to use reshape to solve the channel gap)
    float* a = new float[60]; // New a piece of memory yourself, you need to release it later
    ncnn::Mat in2 = ncnn::Mat(60, (void*)a).reshape(4, 5, 3).clone(); // use the same method as above, clone() to transfer data owner
-   ```
\ No newline at end of file
+   ```