Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 7.2 — Training RNNs with back propagation [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 7.1 — Modeling sequences: a brief overview [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 6.5 — Rmsprop: normalize the gradient [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 6.4 — Adaptive learning rates for each connection [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 6.3 — The momentum method [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 6.2 — A bag of tricks for mini batch gradient descent [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 6.1 — Overview of mini batch gradient descent [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 5.4 — Convolutional nets for object recognition [Neural Networks for Machine Learning]
Video AI Science, Geoffrey Hinton, Neural Network, University AI Lecture 5.3 — Convolutional nets for digit recognition [Neural Networks for Machine Learning]
