README.md

@@ -4,7 +4,7 @@
 C-net ඞ is a Python project designed to read and predict numbers from the MNIST dataset using neural networks.
 
 ## Visuals
-![Insert GIF or Screenshot here](link_to_visual.gif)
+![Insert GIF or Screenshot here](https://camo.githubusercontent.com/b308207b5c5ce0970b13c21609350fab21aa61a2fae56da2a6418d6fdcdbc079/68747470733a2f2f7777772e776f6c6672616d2e636f6d2f6d617468656d61746963612f6e65772d696e2d31302f656e68616e6365642d696d6167652d70726f63657373696e672f48544d4c496d616765732e656e2f68616e647772697474656e2d6469676974732d636c617373696669636174696f6e2f736d616c6c7468756d625f31302e676966)
 
 ## Roadmap
 
@@ -23,7 +23,7 @@ This project was brought to you by the following contributors:
 - Dworski, Daniel
 - Walcher, Raphael
 
-We would like to express our gratitude to the following project, which served as an inspiration and reference:
+We would like to express our gratitude to the following sources, which served as an inspiration and reference:
 - [MNIST from Scratch](https://github.com/markkraay/mnist-from-scratch) by markkraay
 - [Neural Network Framework in C](https://medium.com/analytics-vidhya/building-neural-network-framework-in-c-using-backpropagation-8ad589a0752d)
 - [Simple Neural Network Implementation in C](https://towardsdatascience.com/simple-neural-network-implementation-in-c-663f51447547)
@@ -32,3 +32,5 @@ We would like to express our gratitude to the following project, which served as
 
 ## Project Status
 The project is considered finished, but ongoing optimizations and improvements may still be in progress.
+
+![amogus](https://media.tenor.com/7kpsm7kU330AAAAd/sussy-among-us.gif)