Merge pull request #313 from mhd-medfa/main

Correct Typographical Error in Vision Transformer Introduction

chapters/en/unit3/vision-transformers/vision-transformers-for-image-classification.mdx

@@ -2,7 +2,7 @@
 
 ## Introduction
 
-As the Transformers architecture scaled well in Natural Language Processing, the same architecture was applied to images by creating small patches of the image and treating them as tokens. The result was a Vision Transformer (Vision Transformers). Before we get started with transfer learning / fine-tuning concepts, let's compare Convolutional Neural Networks (CNNs) with Vision Transformers.
+As the Transformers architecture scaled well in Natural Language Processing, the same architecture was applied to images by creating small patches of the image and treating them as tokens. The result was a Vision Transformer (ViT). Before we get started with transfer learning / fine-tuning concepts, let's compare Convolutional Neural Networks (CNNs) with Vision Transformers.
 
 ### CNN vs Vision Transformers: Inductive Bias