Neural Network  Model / Genetic Algorithm  Optimization
Hi,
During the Q + A section in lecture 10, Prof. AbuMostafa mentioned that a neural network is a model, while a genetic algorithm is an optimization. Earlier in the lecture he said the neurons in a level 'were factors' and in the next layer, factors of factors.
Is a neural network a model instead of an optimization because the nodes are viewed as factors (even though the factors don't correspond to 'factors' we could assign meaning to in the real world)?
Thank You!
