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README.md

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 # Video Classification with a CNN-RNN Architecture
 
-**Author:** Sayak Paul
-**Date created:** 2021/05/28
-**Last modified:** 2021/06/05
-**Description:** Training a video classifier with transfer learning and a recurrent model on the UCF101 dataset.
-**Keras documentation [link](https://keras.io/examples/vision/video_classification/)**
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+<center>
 ![Example Gif](./animation.gif)
+</center>
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+**Author:** Sayak Paul   
+**Date created:** 2021/05/28    
+**Last modified:** 2021/06/05     
+**Description:** Training a video classifier with transfer learning and a recurrent model on the UCF101 dataset.     
+**Keras documentation [link](https://keras.io/examples/vision/video_classification/)**     
 
 This example demonstrates video classification, an important use-case with applications in recommendations, security, and so on. We will be using the UCF101 dataset to build our video classifier. The dataset consists of videos categorized into different actions, like cricket shot, punching, biking, etc. This dataset is commonly used to build action recognizers, which are an application of video classification.