Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
– Supervised learning
– Parametrised models
– Block diagram
– Loss function, average loss
– Gradient descent
– Traditional neural nets
– Backprop through a non-linear function
– Backprop through a weighted sum
– PyTorch implementation
– Backprop through a functional module
– Backprop through a functional module
– Backprop in practice
– Learning representations
– Shallow networks are universal approximators!
– Multilayer architectures == compositional structure of data
Alfredo Canziani
Get personalized course recommendations, track subjects and courses with reminders, and more.
