Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 3.5 — Using the derivatives from backpropagation [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 3.3 — Learning weights of logistic output neuron [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 3.4 — The backpropagation algorithm [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 5.2 — Achieving viewpoint invariance [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 3.1 — Learning the weights of a linear neuron [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 1.1 — Why do we need machine learning [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 2.4 — Why the learning works [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 2.2 — Perceptrons: first-generation neural networks [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 2.3 — A geometrical view of perceptrons [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 2.1 — Types of neural network architectures [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 1.2 — What are neural networks [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 1.5 — Three types of learning [Neural Networks for Machine Learning]
