#NeuralNetworks, at their core, are a collection of nodes. A basic node is just a weighted sum of inputs (plus a bias/constant term) that is passed through a non-linear activation function. Automatically adjusting the weights in all the nodes is where the magic lies in #MachineLearning! You can learn about running a neural network in an #Arduino here: https://www.youtube.com/watch?v=BzzqYNYOcWc #AI
![how i would learn cybersecurity in 2026 if i had to start over [$1,000 GIVEAWAY & BIG ANNOUNCEMENT] how i would learn cybersecurity in 2026 if i had to start over [$1,000 GIVEAWAY & BIG ANNOUNCEMENT]](https://i.ytimg.com/vi/RVPKW--dqhw/hqdefault.jpg)









