Hinton

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

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

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

/videos/Neural Networks for Machine Learning 14.2 Deep auto encoders for document retrieval.mp4

/videos/Neural Networks for Machine Learning 10.2 Hopfield nets with hidden units.mp4

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

/videos/Neural Networks for Machine Learning 14.5 Shallow autoencoders for pre-training.mp4

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

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

/videos/Neural Networks for Machine Learning 14.4 Learning binary codes for image retrieval.mp4

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

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

/videos/Neural Networks for Machine Learning 8.2 Using noise as a regularizer.mp4

/videos/Neural Networks for Machine Learning 1.0 Types of neural network architectures.mp4

/videos/Neural Networks for Machine Learning 2.0 Learning the weights of a linear neuron.mp4

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