#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
#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
![[LAB FIXED] Reinforcement Learning & TensorFlow: Qwik Start #shorts #ytshorts #qwiklabs #arcade](https://i.ytimg.com/vi/KEMB4DcjTPU/hqdefault.jpg "[LAB FIXED] Reinforcement Learning & TensorFlow: Qwik Start #shorts #ytshorts #qwiklabs #arcade")
