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8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp4 82.9 MB
7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4 54.2 MB
7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp4 50.0 MB
8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 41.3 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
8. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
8. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
8. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4 22.7 MB
7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp4 20.5 MB
1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 19.8 MB
2. Convolution/7. Write Convolution Yourself.mp4 19.2 MB
8. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
8. Appendix/10. Is Theano Dead.mp4 18.7 MB
8. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
7. Project Facial Expression Recognition/4. Utilities walkthrough.mp4 14.1 MB
3. Convolutional Neural Network Description/4. Tracking Shapes in a CNN.mp4 13.9 MB
2. Convolution/5. Convolution example with images Gaussian Blur.mp4 12.8 MB
2. Convolution/4. Convolution example with audio Echo.mp4 12.7 MB
2. Convolution/8. Alternative Views on Convolution.mp4 10.7 MB
7. Project Facial Expression Recognition/3. The class imbalance problem.mp4 10.6 MB
1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.mp4 10.6 MB
7. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4 10.3 MB
4. Convolutional Neural Network in Theano/3. Visualizing the Learned Filters.mp4 9.4 MB
2. Convolution/3. What is convolution.mp4 9.0 MB
3. Convolutional Neural Network Description/3. Convolution on 3-D Images.mp4 9.0 MB
3. Convolutional Neural Network Description/2. Architecture of a CNN.mp4 8.9 MB
2. Convolution/6. Convolution example with images Edge Detection.mp4 8.3 MB
8. Appendix/9. Python 2 vs Python 3.mp4 8.2 MB
4. Convolutional Neural Network in Theano/1. Theano - Building the CNN components.mp4 7.3 MB
1. Outline and Review/4. How to Succeed in this Course.mp4 6.7 MB
5. Convolutional Neural Network in TensorFlow/1. TensorFlow - Building the CNN components.mp4 6.2 MB
1. Outline and Review/2. Review of Important Concepts.mp4 6.0 MB
1. Outline and Review/3. Where to get the code and data for this course.mp4 5.9 MB
8. Appendix/1. What is the Appendix.mp4 5.7 MB
8. Appendix/6. How to Uncompress a .tar.gz file.mp4 5.7 MB
6. Practical Tips/1. Practical Image Processing Tips.mp4 5.2 MB
3. Convolutional Neural Network Description/6. Convolution and Pooling Gradients.mp4 4.4 MB
3. Convolutional Neural Network Description/5. Relationship to Biology.mp4 4.1 MB
3. Convolutional Neural Network Description/1. Translational Invariance.mp4 3.8 MB
1. Outline and Review/1. Introduction and Outline.mp4 3.1 MB
7. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp4 3.0 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 34.7 kB
8. Appendix/4. How to Code by Yourself (part 1).srt 28.4 kB
8. Appendix/12. What order should I take your courses in (part 2).srt 25.7 kB
8. Appendix/2. Windows-Focused Environment Setup 2018.srt 22.2 kB
3. Convolutional Neural Network Description/4. Tracking Shapes in a CNN.srt 21.8 kB
7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.srt 20.2 kB
3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.srt 20.2 kB
7. Project Facial Expression Recognition/5. Convolutional Net in Theano.srt 20.1 kB
7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.srt 18.2 kB
8. Appendix/11. What order should I take your courses in (part 1).srt 17.5 kB
8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 17.2 kB
8. Appendix/5. How to Code by Yourself (part 2).srt 16.5 kB
6. Practical Tips/2. Advanced CNNs and how to Design your Own.srt 16.2 kB
8. Appendix/7. How to Succeed in this Course (Long Version).srt 15.8 kB
3. Convolutional Neural Network Description/3. Convolution on 3-D Images.srt 15.0 kB
8. Appendix/10. Is Theano Dead.srt 14.1 kB
2. Convolution/7. Write Convolution Yourself.srt 11.9 kB
2. Convolution/3. What is convolution.srt 9.6 kB
2. Convolution/1. Real-Life Examples of Convolution.srt 9.5 kB
7. Project Facial Expression Recognition/3. The class imbalance problem.srt 9.2 kB
2. Convolution/8. Alternative Views on Convolution.srt 8.9 kB
3. Convolutional Neural Network Description/2. Architecture of a CNN.srt 8.5 kB
2. Convolution/2. Beginner's Guide to Convolution.srt 8.4 kB
4. Convolutional Neural Network in Theano/1. Theano - Building the CNN components.srt 7.4 kB
4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.srt 7.1 kB
7. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.srt 7.1 kB
2. Convolution/4. Convolution example with audio Echo.srt 6.9 kB
7. Project Facial Expression Recognition/4. Utilities walkthrough.srt 6.9 kB
8. Appendix/9. Python 2 vs Python 3.srt 6.8 kB
1. Outline and Review/2. Review of Important Concepts.srt 6.5 kB
5. Convolutional Neural Network in TensorFlow/1. TensorFlow - Building the CNN components.srt 6.4 kB
1. Outline and Review/5. Tensorflow or Theano - Your Choice!.srt 6.1 kB
5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.srt 6.0 kB
4. Convolutional Neural Network in Theano/3. Visualizing the Learned Filters.srt 6.0 kB
6. Practical Tips/1. Practical Image Processing Tips.srt 5.5 kB
1. Outline and Review/3. Where to get the code and data for this course.srt 5.0 kB
3. Convolutional Neural Network Description/6. Convolution and Pooling Gradients.srt 4.7 kB
1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.srt 4.5 kB
8. Appendix/6. How to Uncompress a .tar.gz file.srt 4.5 kB
1. Outline and Review/4. How to Succeed in this Course.srt 4.4 kB
2. Convolution/5. Convolution example with images Gaussian Blur.srt 4.2 kB
3. Convolutional Neural Network Description/1. Translational Invariance.srt 4.2 kB
8. Appendix/1. What is the Appendix.srt 3.9 kB
3. Convolutional Neural Network Description/5. Relationship to Biology.srt 3.8 kB
1. Outline and Review/1. Introduction and Outline.srt 3.6 kB
2. Convolution/6. Convolution example with images Edge Detection.srt 3.3 kB
7. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.srt 1.8 kB
[FCS Forum].url 133 Bytes
[FreeCourseSite.com].url 127 Bytes
[CourseClub.NET].url 123 Bytes

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