BtFinder

hinton

File Information:
  1. Magnet Link：Magnet LinkMagnet Link
  2. File Size：924.17 MB
  3. Creat Time：2016-10-10
  4. Active Degree：127
  5. Last Active：2024-12-02
  6. File Tags：hinton  
  7. Statement：This site does not provide download links, only text displays, and does not contain any infringement.
File List:

    hinton

  1. videos/Neural Networks for Machine Learning 4.3 Convolutional nets for object recognition.mp4 23.58 MB
  2. videos/Neural Networks for Machine Learning 6.0 Modeling sequences A brief overview.mp4 20.61 MB
  3. videos/Neural Networks for Machine Learning 13.0 Learning layers of features by stacking RBMs.mp4 20.55 MB
  4. videos/Neural Networks for Machine Learning 13.4 OPTIONAL VIDEO RBMs are infinite sigmoid belief nets.mp4 19.90 MB
  5. videos/Neural Networks for Machine Learning 4.2 Convolutional nets for digit recognition.mp4 18.90 MB
  6. videos/Neural Networks for Machine Learning 11.1 OPTIONAL VIDEO More efficient ways to get the statistics.mp4 17.34 MB
  7. videos/Neural Networks for Machine Learning 1.4 What perceptrons can't do.mp4 16.97 MB
  8. videos/Neural Networks for Machine Learning 7.1 Modeling character strings with multiplicative connections.mp4 16.96 MB
  9. videos/Neural Networks for Machine Learning 7.0 A brief overview of Hessian Free optimization.mp4 16.63 MB
  10. videos/Neural Networks for Machine Learning 15.2 OPTIONAL Bayesian optimization of hyper-parameters.mp4 16.18 MB
  11. videos/Neural Networks for Machine Learning 12.3 The wake-sleep algorithm.mp4 16.05 MB
  12. videos/Neural Networks for Machine Learning 9.0 Why it helps to combine models.mp4 15.49 MB
  13. videos/Neural Networks for Machine Learning 5.4 Rmsprop Divide the gradient by a running average of its recent magnitude.mp4 15.48 MB
  14. videos/Neural Networks for Machine Learning 0.0 Why do we need machine learning.mp4 15.41 MB
  15. videos/Neural Networks for Machine Learning 9.1 Mixtures of Experts.mp4 15.34 MB
  16. videos/Neural Networks for Machine Learning 5.1 A bag of tricks for mini-batch gradient descent.mp4 15.25 MB
  17. videos/Neural Networks for Machine Learning 12.1 Belief Nets.mp4 15.21 MB
  18. videos/Neural Networks for Machine Learning 10.0 Hopfield Nets.mp4 15.00 MB
  19. videos/Neural Networks for Machine Learning 3.0 Learning to predict the next word.mp4 14.62 MB
  20. videos/Neural Networks for Machine Learning 3.4 Ways to deal with the large number of possible outputs.mp4 14.60 MB
  21. videos/Neural Networks for Machine Learning 11.0 Boltzmann machine learning.mp4 14.36 MB
  22. videos/Neural Networks for Machine Learning 7.2 Learning to predict the next character using HF.mp4 14.25 MB
  23. videos/Neural Networks for Machine Learning 15.0 OPTIONAL Learning a joint model of images and captions.mp4 14.16 MB
  24. videos/Neural Networks for Machine Learning 12.2 Learning sigmoid belief nets.mp4 13.92 MB
  25. videos/Neural Networks for Machine Learning 8.0 Overview of ways to improve generalization.mp4 13.90 MB
  26. videos/Neural Networks for Machine Learning 2.0 Learning the weights of a linear neuron.mp4 13.84 MB
  27. videos/Neural Networks for Machine Learning 2.3 The backpropagation algorithm.mp4 13.67 MB
  28. videos/Neural Networks for Machine Learning 10.4 How a Boltzmann machine models data.mp4 13.60 MB
  29. videos/Neural Networks for Machine Learning 10.1 Dealing with spurious minima.mp4 13.08 MB
  30. videos/Neural Networks for Machine Learning 11.2 Restricted Boltzmann Machines.mp4 12.98 MB
  31. videos/Neural Networks for Machine Learning 8.4 The Bayesian interpretation of weight decay.mp4 12.57 MB
  32. videos/Neural Networks for Machine Learning 8.3 Introduction to the full Bayesian approach.mp4 12.29 MB
  33. videos/Neural Networks for Machine Learning 12.0 The ups and downs of back propagation.mp4 12.11 MB
  34. videos/Neural Networks for Machine Learning 10.3 Using stochastic units to improv search.mp4 12.05 MB
  35. videos/Neural Networks for Machine Learning 14.4 Learning binary codes for image retrieval.mp4 11.78 MB
  36. videos/Neural Networks for Machine Learning 10.2 Hopfield nets with hidden units.mp4 11.58 MB
  37. videos/Neural Networks for Machine Learning 13.1 Discriminative learning for DBNs.mp4 11.56 MB
  38. videos/Neural Networks for Machine Learning 7.3 Echo State Networks.mp4 11.55 MB
  39. videos/Neural Networks for Machine Learning 13.3 Modeling real-valued data with an RBM.mp4 11.47 MB
  40. videos/Neural Networks for Machine Learning 15.1 OPTIONAL Hierarchical Coordinate Frames.mp4 11.43 MB
  41. videos/Neural Networks for Machine Learning 2.4 Using the derivatives computed by backpropagation.mp4 11.42 MB
  42. videos/Neural Networks for Machine Learning 14.2 Deep auto encoders for document retrieval.mp4 10.49 MB
  43. videos/Neural Networks for Machine Learning 6.4 Long-term Short-term-memory.mp4 10.48 MB
  44. videos/Neural Networks for Machine Learning 13.2 What happens during discriminative fine-tuning.mp4 10.42 MB
  45. videos/Neural Networks for Machine Learning 14.3 Semantic Hashing.mp4 10.23 MB
  46. videos/Neural Networks for Machine Learning 0.1 What are neural networks.mp4 9.99 MB
  47. videos/Neural Networks for Machine Learning 5.2 The momentum method.mp4 9.97 MB
  48. videos/Neural Networks for Machine Learning 9.4 Dropout.mp4 9.92 MB
  49. videos/Neural Networks for Machine Learning 14.0 From PCA to autoencoders.mp4 9.91 MB
  50. videos/Neural Networks for Machine Learning 5.0 Overview of mini-batch gradient descent.mp4 9.83 MB
Hot Tags:


© 2014-2024 BtFinder Sitemap Tags  FindBt