GigaCourse com Udemy - Deep Learning Convolutional Neural Networks in Python

1. 1. Outline and Review/1. Introduction and Outline.mp42.92MB
2. 1. Outline and Review/2. Review of Important Concepts.mp45.72MB
3. 1. Outline and Review/3. Where to get the code and data for this course.mp45.59MB
4. 1. Outline and Review/4. How to Succeed in this Course.mp46.41MB
5. 1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp418.91MB
6. 1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.mp410.07MB
7. 2. Convolution/1. Real-Life Examples of Convolution.mp482.19MB
8. 2. Convolution/2. Beginner's Guide to Convolution.mp434.3MB
9. 2. Convolution/3. What is convolution.mp48.54MB
10. 2. Convolution/4. Convolution example with audio Echo.mp412.1MB
11. 2. Convolution/5. Convolution example with images Gaussian Blur.mp412.25MB
12. 2. Convolution/6. Convolution example with images Edge Detection.mp47.91MB
13. 2. Convolution/7. Write Convolution Yourself.mp418.34MB
14. 2. Convolution/8. Alternative Views on Convolution.mp410.16MB
15. 3. Convolutional Neural Network Description/1. Translational Invariance.mp43.63MB
16. 3. Convolutional Neural Network Description/2. Architecture of a CNN.mp48.49MB
17. 3. Convolutional Neural Network Description/3. Convolution on 3-D Images.mp48.54MB
18. 3. Convolutional Neural Network Description/4. Tracking Shapes in a CNN.mp413.24MB
19. 3. Convolutional Neural Network Description/5. Relationship to Biology.mp43.94MB
20. 3. Convolutional Neural Network Description/6. Convolution and Pooling Gradients.mp44.21MB
21. 3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp421.68MB
22. 4. Convolutional Neural Network in Theano/1. Theano - Building the CNN components.mp46.99MB
23. 4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp439.36MB
24. 4. Convolutional Neural Network in Theano/3. Visualizing the Learned Filters.mp48.94MB
25. 5. Convolutional Neural Network in TensorFlow/1. TensorFlow - Building the CNN components.mp45.89MB
26. 5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp479.1MB
27. 6. Practical Tips/1. Practical Image Processing Tips.mp44.94MB
28. 6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp419.57MB
29. 7. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp49.82MB
30. 7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp421.43MB
31. 7. Project Facial Expression Recognition/3. The class imbalance problem.mp410.12MB
32. 7. Project Facial Expression Recognition/4. Utilities walkthrough.mp413.49MB
33. 7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp451.69MB
34. 7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp447.69MB
35. 7. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp42.91MB
36. 8. Appendix/1. What is the Appendix.mp45.45MB
37. 8. Appendix/10. Is Theano Dead.mp417.81MB
38. 8. Appendix/11. What order should I take your courses in (part 1).mp429.33MB
39. 8. Appendix/12. What order should I take your courses in (part 2).mp437.62MB
40. 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4186.42MB
41. 8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.92MB
42. 8. Appendix/4. How to Code by Yourself (part 1).mp424.54MB
43. 8. Appendix/5. How to Code by Yourself (part 2).mp414.8MB
44. 8. Appendix/6. How to Uncompress a .tar.gz file.mp45.43MB
45. 8. Appendix/7. How to Succeed in this Course (Long Version).mp418.31MB
46. 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.95MB
47. 8. Appendix/9. Python 2 vs Python 3.mp47.83MB