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Library/ Deep Learning/ Module 1 · Introduction to Deep Learning/ 1.2 Neural network basics (ANN)

subtopic

Neuron (perceptron), weights and bias

10 min applied20 min research3 curated resources

Learn how one neuron works: multiply each input by a weight, add a bias, pass through an activation. Code one neuron in 5 lines of Python and see how changing weights changes the output.

Builds on: B10 · Build: Movie Recommender from Ratings (vectors & similarity), B17 · Build: Fit a Line with Gradient Descent (calculus in action)

Notes, key code, what to skip and 3 curated resources are inside the platform.Join the waitlist and we'll build you a roadmap that includes this topic only if your goal needs it.

Neuron (perceptron), weights and bias · 1x1labs.ai