ML tutorial: How to train neurons

See how neurons actually learn from the data presented to them such that they can represent the training data for future unseen cases and generalize. In this video you will revisit linear regression and learn how a single neuron can essentially estimate the equation of a straight line over time while optimizing for some defined loss function such as mean squared error (MSE) loss. Catch more episodes from Machine Learning for Web Developers (Web ML) → https://goo.gle/learn-WebML Check out TensorFlow on YouTube → https://goo.gle/TensorFlow-YouTube Subscribe to Google Developers → https://goo.gle/developers Connect with Jason Mayes to ask questions: LinkedIn → https://goo.gle/3GwgeLw Twitter →https://goo.gle/3Xh6MT7 Discord →https://goo.gle/3WWVO5t Use #WebML to share your learnings and creations from this course to meet your peers on social media! See what others have already made with Web ML → http://goo.gle/made-with-tfjs