Neural Network from Scratch in Java

👨‍💻 to get started with AI engineering, check out this Scrimba course: https://scrimba.com/the-ai-engineer-path-c02v?via=yacineMahdid In this video I will show step by step how I made a deep neural network from scratch using pure Java. I show how to setup the structure of your code to be modular enough for a simple implementation, what function and variables are needed in each class and how to setup forward/backward propagation. The source code for this video is available right here on my github: https://github.com/yacineMahdid/artificial-intelligence-and-machine-learning/tree/master/Neural%20Network%20from%20Scratch%20in%20Java Also, for a good run down of the derivation and math required to make the forward and backward propagation happen go here: https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/ If you have any comments or question leave them in the comments down below. Also if you think I have messed up something please raise an issue on github or let me know! ---- Join the Discord for general discussion: https://discord.gg/QpkxRbQBpf ---- Follow Me Online Here: Twitter: https://twitter.com/CodeThisCodeTh1 GitHub: https://github.com/yacineMahdid LinkedIn: https://www.linkedin.com/in/yacine-mahdid-809425163/ Instagram: https://www.instagram.com/yacine_mahdid/ ___ Have a great week! 👋