FreeTutorials Us data-science-deep-learning-in-python

1. 01 What is a neural network/001 Introduction and Outline.mp46.08MB
2. 01 What is a neural network/002 Where does this course fit into your deep learning studies.mp48.46MB
3. 01 What is a neural network/003 Deep Learning Readiness Test.mp48.58MB
4. 01 What is a neural network/004 Neural Networks with No Math.mp47.34MB
5. 01 What is a neural network/005 Introduction to the E-Commerce Course Project.mp414.79MB
6. 02 Classifying more than 2 things at a time/006 Prediction Section Introduction and Outline.mp48.99MB
7. 02 Classifying more than 2 things at a time/007 From Logistic Regression to Neural Networks.mp48.56MB
8. 02 Classifying more than 2 things at a time/008 Interpreting the Weights of a Neural Network.mp412.52MB
9. 02 Classifying more than 2 things at a time/009 Softmax.mp44.56MB
10. 02 Classifying more than 2 things at a time/010 Sigmoid vs. Softmax.mp42.41MB
11. 02 Classifying more than 2 things at a time/011 Feedforward in Slow-Mo part 1.mp430.28MB
12. 02 Classifying more than 2 things at a time/012 Feedforward in Slow-Mo part 2.mp416.69MB
13. 02 Classifying more than 2 things at a time/013 Where to get the code for this course.mp42.98MB
14. 02 Classifying more than 2 things at a time/014 Softmax in Code.mp47.77MB
15. 02 Classifying more than 2 things at a time/015 Building an entire feedforward neural network in Python.mp413.87MB
16. 02 Classifying more than 2 things at a time/016 E-Commerce Course Project Pre-Processing the Data.mp411.16MB
17. 02 Classifying more than 2 things at a time/017 E-Commerce Course Project Making Predictions.mp47.58MB
18. 02 Classifying more than 2 things at a time/018 Prediction Quizzes.mp45.1MB
19. 02 Classifying more than 2 things at a time/019 Prediction Section Summary.mp42.82MB
20. 03 Training a neural network/020 Training Section Introduction and Outline.mp44.42MB
21. 03 Training a neural network/021 What do all these symbols and letters mean.mp414.57MB
22. 03 Training a neural network/022 What does it mean to train a neural network.mp49.74MB
23. 03 Training a neural network/023 Backpropagation Intro.mp419.1MB
24. 03 Training a neural network/024 Backpropagation - what does the weight update depend on.mp410.13MB
25. 03 Training a neural network/025 Backpropagation - recursiveness.mp411.19MB
26. 03 Training a neural network/026 Backpropagation in code.mp446.34MB
27. 03 Training a neural network/027 The WRONG Way to Learn Backpropagation.mp46.84MB
28. 03 Training a neural network/028 E-Commerce Course Project Training Logistic Regression with Softmax.mp420.24MB
29. 03 Training a neural network/029 E-Commerce Course Project Training a Neural Network.mp415.46MB
30. 03 Training a neural network/030 Training Quiz.mp48.32MB
31. 03 Training a neural network/031 Training Section Summary.mp44.1MB
32. 04 Practical Machine Learning/032 Practical Issues Section Introduction and Outline.mp42.73MB
33. 04 Practical Machine Learning/033 Donut and XOR Review.mp41.82MB
34. 04 Practical Machine Learning/034 Donut and XOR Revisited.mp413.95MB
35. 04 Practical Machine Learning/035 Common nonlinearities and their derivatives.mp42.38MB
36. 04 Practical Machine Learning/036 Hyperparameters and Cross-Validation.mp46.94MB
37. 04 Practical Machine Learning/037 Manually Choosing Learning Rate and Regularization Penalty.mp47.06MB
38. 04 Practical Machine Learning/038 Practical Issues Section Summary.mp49.61MB
39. 05 TensorFlow exercises practice and what to learn next/039 TensorFlow plug-and-play example.mp415.9MB
40. 05 TensorFlow exercises practice and what to learn next/040 Visualizing what a neural network has learned using TensorFlow Playground.mp443.24MB
41. 05 TensorFlow exercises practice and what to learn next/041 Where to go from here.mp46.05MB
42. 05 TensorFlow exercises practice and what to learn next/042 You know more than you think you know.mp48.23MB
43. 05 TensorFlow exercises practice and what to learn next/043 How to get good at deep learning exercises.mp49.45MB
44. 05 TensorFlow exercises practice and what to learn next/044 Deep neural networks in just 3 lines of code with Sci-Kit Learn.mp414.1MB
45. 06 Project Facial Expression Recognition/045 Facial Expression Recognition Problem Description.mp421.43MB
46. 06 Project Facial Expression Recognition/046 The class imbalance problem.mp410.11MB
47. 06 Project Facial Expression Recognition/047 Utilities walkthrough.mp413.48MB
48. 06 Project Facial Expression Recognition/048 Facial Expression Recognition in Code Binary Sigmoid.mp425.19MB
49. 06 Project Facial Expression Recognition/049 Facial Expression Recognition in Code Logistic Regression Softmax.mp419.76MB
50. 06 Project Facial Expression Recognition/050 Facial Expression Recognition in Code ANN Softmax.mp423.47MB
51. 07 Appendix/051 Gradient Descent Tutorial.mp48.43MB
52. 07 Appendix/052 Help with Softmax Derivative.mp46.28MB
53. 07 Appendix/053 Backpropagation with Softmax Troubleshooting.mp418.15MB
54. 07 Appendix/054 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp443.92MB
55. 07 Appendix/055 How to Code by Yourself part 1.mp424.53MB
56. 07 Appendix/056 How to Code by Yourself part 2.mp414.8MB