Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 14.3 — Discriminative fine tuning [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 14.2 — Discriminative learning for DBNs [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 14.1 — Learning layers of features by stacking RBMs [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 13.4 — The wake sleep algorithm [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 13.3 — Learning sigmoid belief nets [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 3.2 — The error surface for a linear neuron [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 5.1 — Why object recognition is difficult [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 4.5 — Dealing with many possible outputs [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 4.4 — Neuro-probabilistic language models [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 4.3 — The softmax output function [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 4.2 — A brief diversion into cognitive science [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 4.1 — Learning to predict the next word [Neural Networks for Machine Learning]
