chore(readme): embed youtube video
As universal function approximators, artificial neural networks have been shown to have the potential to solve ordinary differential equations (ODEs) and partial differential equations (PDEs) with certain initial/boundary conditions. The aim of `neurodiffeq` is to implement these existing techniques of using ANN to solve differential equations in a way that allow the software to be flexible enough to work on a wide range of user-defined problems.
+<iframe width="1280" height="720" src="https://www.youtube.com/embed/VDLwyFD-sXQ" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
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# Installation
## Install via pip
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In addition to the documentations, we have recently made a [quick walkthrough demo video](https://youtu.be/VDLwyFD-sXQ), the slides can be found [here](https://drive.google.com/file/d/1XTbwkZ0g7ufzD7lvMB-Cl8s5nh6jKgHk/view?usp=sharing)
-[![Neurodiffeq Live Demo](https://img.youtube.com/vi/VDLwyFD-sXQ/0.jpg)](https://www.youtube.com/watch?v=VDLwyFD-sXQ)
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# Contributing
Thanks for your interest to contribute!
