@dr.justin.hodges: A neural network visualization- a) Input layer – takes raw data (numbers, pixels, etc.). b) Hidden layers – process data using weights and activation functions to detect patterns. c) Output layer – gives the result (prediction, classification, etc.). Learning – network adjusts weights using backpropagation to reduce errors. Credit for this goes to 'code_helping' account on IG #ai #machinelearning #code #developer #engineering