From 7ac102797361c0f8ce583fd6518ccf291edc44c7 Mon Sep 17 00:00:00 2001
From: Siddharth S <40669232+Siddharths8212376@users.noreply.github.com>
Date: Fri, 22 Jan 2021 19:10:23 +0530
Subject: [PATCH] Minor Documentation Error :)

---
 tutorial01/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tutorial01/README.md b/tutorial01/README.md
index a128aeb..69e03c2 100644
--- a/tutorial01/README.md
+++ b/tutorial01/README.md
@@ -136,7 +136,7 @@ You will notice that the program does not work correctly. The reason is CPU and
 
 For data to be accessible by GPU, it must be presented in the device memory. CUDA provides APIs for allocating device memory and data transfer between host and device memory. Following is the common workflow of CUDA programs. 
 
-1. Allocate host memory and initialized host data
+1. Allocate host memory and initialize host data
 2. Allocate device memory
 3. Transfer input data from host to device memory
 4. Execute kernels