EE-Learning
feedforward, recurrent and RBM
Catogry:
Computing
Subject:
Machine Learning
Course:
Neural Networks And Backpropagation
Lecture List
multiclass classification
Backpropagation in detail
Backpropagation: how it works
derivatives we need for backprop
hidden units = features
universal approximation
solving XOR with a hidden layer
feedforward, recurrent and RBM
McCulloch & Pitts neuron
axons, dendrites, synapses
machine learning = feature engineering
a 3-minute history