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  1. hinton_videos_slides.torrent 27.8 KB
  2. slides/lec7.pptx 222.7 KB
  3. slides/lec16.pptx 336.2 KB
  4. slides/lec2.pptx 399.6 KB
  5. slides/lec13.pptx 414.8 KB
  6. slides/lec8.pptx 554.9 KB
  7. slides/lec6.pptx 656.9 KB
  8. slides/lec11.pptx 726.4 KB
  9. slides/lec10.pptx 880.4 KB
  10. slides/lec4.pptx 1.1 MB
  11. slides/lec3.pptx 1.1 MB
  12. slides/lec14.pptx 1.2 MB
  13. slides/lec9.pptx 1.5 MB
  14. slides/lec5.pptx 1.7 MB
  15. slides/lec15.pptx 1.8 MB
  16. slides/lec12.pptx 1.9 MB
  17. videos/Neural Networks for Machine Learning 15.3 OPTIONAL The fog of progress.mp4 2.8 MB
  18. slides/lec1.pptx 3.6 MB
  19. videos/Neural Networks for Machine Learning 2.2 Learning the weights of a logistic output neuron.mp4 4.4 MB
  20. videos/Neural Networks for Machine Learning 8.5 MacKay's quick and dirty method of setting weight costs.mp4 4.4 MB
  21. videos/Neural Networks for Machine Learning 14.1 Deep auto encoders.mp4 4.9 MB
  22. videos/Neural Networks for Machine Learning 3.1 A brief diversion into cognitive science.mp4 5.3 MB
  23. videos/Neural Networks for Machine Learning 4.0 Why object recognition is difficult.mp4 5.4 MB
  24. videos/Neural Networks for Machine Learning 2.1 The error surface for a linear neuron.mp4 5.9 MB
  25. videos/Neural Networks for Machine Learning 1.3 Why the learning works.mp4 5.9 MB
  26. videos/Neural Networks for Machine Learning 0.3 A simple example of learning.mp4 6.6 MB
  27. videos/Neural Networks for Machine Learning 5.3 Adaptive learning rates for each connection.mp4 6.6 MB
  28. videos/Neural Networks for Machine Learning 4.1 Achieving viewpoint invariance.mp4 6.9 MB
  29. videos/Neural Networks for Machine Learning 6.2 A toy example of training an RNN.mp4 7.2 MB
  30. videos/Neural Networks for Machine Learning 1.2 A geometrical view of perceptrons.mp4 7.3 MB
  31. videos/Neural Networks for Machine Learning 6.1 Training RNNs with back propagation.mp4 7.3 MB
  32. videos/Neural Networks for Machine Learning 8.1 Limiting the size of the weights.mp4 7.4 MB
  33. videos/Neural Networks for Machine Learning 3.2 Another diversion The softmax output function.mp4 8.0 MB
  34. videos/Neural Networks for Machine Learning 9.3 Making full Bayesian learning practical.mp4 8.1 MB
  35. videos/Neural Networks for Machine Learning 14.5 Shallow autoencoders for pre-training.mp4 8.3 MB
  36. videos/Neural Networks for Machine Learning 9.2 The idea of full Bayesian learning.mp4 8.4 MB
  37. videos/Neural Networks for Machine Learning 8.2 Using noise as a regularizer.mp4 8.5 MB
  38. videos/Neural Networks for Machine Learning 11.3 An example of RBM learning.mp4 8.7 MB
  39. videos/Neural Networks for Machine Learning 1.0 Types of neural network architectures.mp4 8.8 MB
  40. videos/Neural Networks for Machine Learning 6.3 Why it is difficult to train an RNN.mp4 8.9 MB
  41. videos/Neural Networks for Machine Learning 3.3 Neuro-probabilistic language models.mp4 8.9 MB
  42. videos/Neural Networks for Machine Learning 0.4 Three types of learning.mp4 9.0 MB
  43. videos/Neural Networks for Machine Learning 0.2 Some simple models of neurons.mp4 9.3 MB
  44. videos/Neural Networks for Machine Learning 1.1 Perceptrons The first generation of neural networks.mp4 9.4 MB
  45. videos/Neural Networks for Machine Learning 11.4 RBMs for collaborative filtering.mp4 9.5 MB
  46. videos/Neural Networks for Machine Learning 5.0 Overview of mini-batch gradient descent.mp4 9.6 MB
  47. videos/Neural Networks for Machine Learning 14.0 From PCA to autoencoders.mp4 9.7 MB
  48. videos/Neural Networks for Machine Learning 9.4 Dropout.mp4 9.7 MB
  49. videos/Neural Networks for Machine Learning 5.2 The momentum method.mp4 9.7 MB
  50. videos/Neural Networks for Machine Learning 0.1 What are neural networks.mp4 9.8 MB
  51. videos/Neural Networks for Machine Learning 14.3 Semantic Hashing.mp4 10.0 MB
  52. videos/Neural Networks for Machine Learning 13.2 What happens during discriminative fine-tuning.mp4 10.2 MB
  53. videos/Neural Networks for Machine Learning 6.4 Long-term Short-term-memory.mp4 10.2 MB
  54. videos/Neural Networks for Machine Learning 14.2 Deep auto encoders for document retrieval.mp4 10.2 MB
  55. videos/Neural Networks for Machine Learning 2.4 Using the derivatives computed by backpropagation.mp4 11.2 MB
  56. videos/Neural Networks for Machine Learning 15.1 OPTIONAL Hierarchical Coordinate Frames.mp4 11.2 MB
  57. videos/Neural Networks for Machine Learning 13.3 Modeling real-valued data with an RBM.mp4 11.2 MB
  58. videos/Neural Networks for Machine Learning 7.3 Echo State Networks.mp4 11.3 MB
  59. videos/Neural Networks for Machine Learning 13.1 Discriminative learning for DBNs.mp4 11.3 MB
  60. videos/Neural Networks for Machine Learning 10.2 Hopfield nets with hidden units.mp4 11.3 MB
  61. videos/Neural Networks for Machine Learning 14.4 Learning binary codes for image retrieval.mp4 11.5 MB
  62. videos/Neural Networks for Machine Learning 10.3 Using stochastic units to improv search.mp4 11.8 MB
  63. videos/Neural Networks for Machine Learning 12.0 The ups and downs of back propagation.mp4 11.8 MB
  64. videos/Neural Networks for Machine Learning 8.3 Introduction to the full Bayesian approach.mp4 12.0 MB
  65. videos/Neural Networks for Machine Learning 8.4 The Bayesian interpretation of weight decay.mp4 12.3 MB
  66. videos/Neural Networks for Machine Learning 11.2 Restricted Boltzmann Machines.mp4 12.7 MB
  67. videos/Neural Networks for Machine Learning 10.1 Dealing with spurious minima.mp4 12.8 MB
  68. videos/Neural Networks for Machine Learning 10.4 How a Boltzmann machine models data.mp4 13.3 MB
  69. videos/Neural Networks for Machine Learning 2.3 The backpropagation algorithm.mp4 13.4 MB
  70. videos/Neural Networks for Machine Learning 2.0 Learning the weights of a linear neuron.mp4 13.5 MB
  71. videos/Neural Networks for Machine Learning 8.0 Overview of ways to improve generalization.mp4 13.6 MB
  72. videos/Neural Networks for Machine Learning 12.2 Learning sigmoid belief nets.mp4 13.6 MB
  73. videos/Neural Networks for Machine Learning 15.0 OPTIONAL Learning a joint model of images and captions.mp4 13.8 MB
  74. videos/Neural Networks for Machine Learning 7.2 Learning to predict the next character using HF.mp4 13.9 MB
  75. videos/Neural Networks for Machine Learning 11.0 Boltzmann machine learning.mp4 14.0 MB
  76. videos/Neural Networks for Machine Learning 3.4 Ways to deal with the large number of possible outputs.mp4 14.3 MB
  77. videos/Neural Networks for Machine Learning 3.0 Learning to predict the next word.mp4 14.3 MB
  78. videos/Neural Networks for Machine Learning 10.0 Hopfield Nets.mp4 14.6 MB
  79. videos/Neural Networks for Machine Learning 12.1 Belief Nets.mp4 14.9 MB
  80. videos/Neural Networks for Machine Learning 5.1 A bag of tricks for mini-batch gradient descent.mp4 14.9 MB
  81. videos/Neural Networks for Machine Learning 9.1 Mixtures of Experts.mp4 15.0 MB
  82. videos/Neural Networks for Machine Learning 0.0 Why do we need machine learning.mp4 15.0 MB
  83. videos/Neural Networks for Machine Learning 5.4 Rmsprop Divide the gradient by a running average of its recent magnitude.mp4 15.1 MB
  84. videos/Neural Networks for Machine Learning 9.0 Why it helps to combine models.mp4 15.1 MB
  85. videos/Neural Networks for Machine Learning 12.3 The wake-sleep algorithm.mp4 15.7 MB
  86. videos/Neural Networks for Machine Learning 15.2 OPTIONAL Bayesian optimization of hyper-parameters.mp4 15.8 MB
  87. videos/Neural Networks for Machine Learning 7.0 A brief overview of Hessian Free optimization.mp4 16.2 MB
  88. videos/Neural Networks for Machine Learning 7.1 Modeling character strings with multiplicative connections.mp4 16.6 MB
  89. videos/Neural Networks for Machine Learning 1.4 What perceptrons can't do.mp4 16.6 MB
  90. videos/Neural Networks for Machine Learning 11.1 OPTIONAL VIDEO More efficient ways to get the statistics.mp4 16.9 MB
  91. videos/Neural Networks for Machine Learning 4.2 Convolutional nets for digit recognition.mp4 18.5 MB
  92. videos/Neural Networks for Machine Learning 13.4 OPTIONAL VIDEO RBMs are infinite sigmoid belief nets.mp4 19.4 MB
  93. videos/Neural Networks for Machine Learning 13.0 Learning layers of features by stacking RBMs.mp4 20.1 MB
  94. videos/Neural Networks for Machine Learning 6.0 Modeling sequences A brief overview.mp4 20.1 MB
  95. videos/Neural Networks for Machine Learning 4.3 Convolutional nets for object recognition.mp4 23.0 MB

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