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[] data-science-deep-learning-in-python

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  • 文件大小:722MB
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文件列表

  1. 03 Training a neural network/026 Backpropagation in code.mp4 46MB
  2. 07 Appendix/054 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 44MB
  3. 05 TensorFlow exercises practice and what to learn next/040 Visualizing what a neural network has learned using TensorFlow Playground.mp4 43MB
  4. 02 Classifying more than 2 things at a time/011 Feedforward in Slow-Mo part 1.mp4 30MB
  5. 06 Project Facial Expression Recognition/048 Facial Expression Recognition in Code Binary Sigmoid.mp4 25MB
  6. 07 Appendix/055 How to Code by Yourself part 1.mp4 25MB
  7. 06 Project Facial Expression Recognition/050 Facial Expression Recognition in Code ANN Softmax.mp4 23MB
  8. 06 Project Facial Expression Recognition/045 Facial Expression Recognition Problem Description.mp4 21MB
  9. 03 Training a neural network/028 E-Commerce Course Project Training Logistic Regression with Softmax.mp4 20MB
  10. 06 Project Facial Expression Recognition/049 Facial Expression Recognition in Code Logistic Regression Softmax.mp4 20MB
  11. 03 Training a neural network/023 Backpropagation Intro.mp4 19MB
  12. 07 Appendix/053 Backpropagation with Softmax Troubleshooting.mp4 18MB
  13. 02 Classifying more than 2 things at a time/012 Feedforward in Slow-Mo part 2.mp4 17MB
  14. 05 TensorFlow exercises practice and what to learn next/039 TensorFlow plug-and-play example.mp4 16MB
  15. 03 Training a neural network/029 E-Commerce Course Project Training a Neural Network.mp4 15MB
  16. 07 Appendix/056 How to Code by Yourself part 2.mp4 15MB
  17. 01 What is a neural network/005 Introduction to the E-Commerce Course Project.mp4 15MB
  18. 03 Training a neural network/021 What do all these symbols and letters mean.mp4 15MB
  19. 05 TensorFlow exercises practice and what to learn next/044 Deep neural networks in just 3 lines of code with Sci-Kit Learn.mp4 14MB
  20. 04 Practical Machine Learning/034 Donut and XOR Revisited.mp4 14MB
  21. 02 Classifying more than 2 things at a time/015 Building an entire feedforward neural network in Python.mp4 14MB
  22. 06 Project Facial Expression Recognition/047 Utilities walkthrough.mp4 13MB
  23. 02 Classifying more than 2 things at a time/008 Interpreting the Weights of a Neural Network.mp4 13MB
  24. 03 Training a neural network/025 Backpropagation - recursiveness.mp4 11MB
  25. 02 Classifying more than 2 things at a time/016 E-Commerce Course Project Pre-Processing the Data.mp4 11MB
  26. 03 Training a neural network/024 Backpropagation - what does the weight update depend on.mp4 10MB
  27. 06 Project Facial Expression Recognition/046 The class imbalance problem.mp4 10MB
  28. 03 Training a neural network/022 What does it mean to train a neural network.mp4 10MB
  29. 04 Practical Machine Learning/038 Practical Issues Section Summary.mp4 10MB
  30. 05 TensorFlow exercises practice and what to learn next/043 How to get good at deep learning exercises.mp4 9MB
  31. 02 Classifying more than 2 things at a time/006 Prediction Section Introduction and Outline.mp4 9MB
  32. 01 What is a neural network/003 Deep Learning Readiness Test.mp4 9MB
  33. 02 Classifying more than 2 things at a time/007 From Logistic Regression to Neural Networks.mp4 9MB
  34. 01 What is a neural network/002 Where does this course fit into your deep learning studies.mp4 8MB
  35. 07 Appendix/051 Gradient Descent Tutorial.mp4 8MB
  36. 03 Training a neural network/030 Training Quiz.mp4 8MB
  37. 05 TensorFlow exercises practice and what to learn next/042 You know more than you think you know.mp4 8MB
  38. 02 Classifying more than 2 things at a time/014 Softmax in Code.mp4 8MB
  39. 02 Classifying more than 2 things at a time/017 E-Commerce Course Project Making Predictions.mp4 8MB
  40. 01 What is a neural network/004 Neural Networks with No Math.mp4 7MB
  41. 04 Practical Machine Learning/037 Manually Choosing Learning Rate and Regularization Penalty.mp4 7MB
  42. 04 Practical Machine Learning/036 Hyperparameters and Cross-Validation.mp4 7MB
  43. 03 Training a neural network/027 The WRONG Way to Learn Backpropagation.mp4 7MB
  44. 07 Appendix/052 Help with Softmax Derivative.mp4 6MB
  45. 01 What is a neural network/001 Introduction and Outline.mp4 6MB
  46. 05 TensorFlow exercises practice and what to learn next/041 Where to go from here.mp4 6MB
  47. 02 Classifying more than 2 things at a time/018 Prediction Quizzes.mp4 5MB
  48. 02 Classifying more than 2 things at a time/009 Softmax.mp4 5MB
  49. 03 Training a neural network/020 Training Section Introduction and Outline.mp4 4MB
  50. 03 Training a neural network/031 Training Section Summary.mp4 4MB
  51. 02 Classifying more than 2 things at a time/013 Where to get the code for this course.mp4 3MB
  52. 02 Classifying more than 2 things at a time/019 Prediction Section Summary.mp4 3MB
  53. 04 Practical Machine Learning/032 Practical Issues Section Introduction and Outline.mp4 3MB
  54. 02 Classifying more than 2 things at a time/010 Sigmoid vs. Softmax.mp4 2MB
  55. 04 Practical Machine Learning/035 Common nonlinearities and their derivatives.mp4 2MB
  56. 04 Practical Machine Learning/033 Donut and XOR Review.mp4 2MB
  57. Freetutorials.us.url 119B
  58. [FreeTutorials.us].txt 75B