Hinton

/videos/Neural Networks for Machine Learning 3.2 Another diversion The softmax output function.mp4

/videos/Neural Networks for Machine Learning 3.1 A brief diversion into cognitive science.mp4

/videos/Neural Networks for Machine Learning 2.2 Learning the weights of a logistic output neuron.mp4

/videos/Neural Networks for Machine Learning 0.2 Some simple models of neurons.mp4

/videos/Neural Networks for Machine Learning 7.0 A brief overview of Hessian Free optimization.mp4

/videos/Neural Networks for Machine Learning 2.1 The error surface for a linear neuron.mp4

/videos/Neural Networks for Machine Learning 5.3 Adaptive learning rates for each connection.mp4

/videos/Neural Networks for Machine Learning 4.2 Convolutional nets for digit recognition.mp4

/videos/Neural Networks for Machine Learning 6.2 A toy example of training an RNN.mp4

/videos/Neural Networks for Machine Learning 1.2 A geometrical view of perceptrons.mp4

/videos/Neural Networks for Machine Learning 5.2 The momentum method.mp4

/videos/Neural Networks for Machine Learning 12.0 The ups and downs of back propagation.mp4

/videos/Neural Networks for Machine Learning 4.3 Convolutional nets for object recognition.mp4

/videos/Neural Networks for Machine Learning 4.1 Achieving viewpoint invariance.mp4

/videos/Neural Networks for Machine Learning 6.1 Training RNNs with back propagation.mp4

Showing first 15 files of 94 total files