After my last video I got a lot of comments (mainly on Reddit) asking me to make a video explaining how I did it.
It took me a while to learn how to video edit, voice act, and animate, so it was about time I presented and explained this project.

The Bibites

Made in C# on Unity

I highly inspired my algorithm from the following document :
Stanley K. O. and Miikkulainen R. (2002). Evolving Neural
Networks through Augmenting Topologies. MIT Press journals

Music: "Perspectives" by Kevin MacLeod
http://incompetech.com/music/royalty-...

In this video we go through the most basic and essential tensor operations that really build the foundation to TensorFlow 2.0 and is important to know before moving on to building neural networks which we will start with in the next tutorial! :)

Knowledge in Linear Algebra is very important to have an easier time understanding many tensor operations we go through so I would view as a prerequisite. I think if you don't have that then this series by 3Blue1Brown can be helpful:
https://www.youtube.com/playli....st?list=PLZHQObOWTQD

I learned a lot and was inspired to make these TensorFlow videos by the TensorFlow Specialization on Coursera. Below you'll find both affiliate and non-affiliate links, the pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
affiliate: https://bit.ly/3t3tgI5
non-affiliate: https://bit.ly/3kZgN5B

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

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TensorFlow Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

OUTLINE:
0:00 - Introduction
0:48 - Imports
2:21 - Initialization methods for Tensors
8:34 - Casting to different types
9:36 - Mathematical Operations
15:16 - Indexing a Tensor
19:18 - Reshaping a Tensor
20:40 - Ending words