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[Tutorialsplanet NET] Udemy - Deep Learning Convolutional Neural Networks in Python

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
201A516C896B14CA053194E3D94FB94A1B7CAF19
Source
Unverified
Total Size
1.03 GB
Total Files
95
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
1. Outline and Review/1. Introduction and Outline.mp42.92 MB
1. Outline and Review/1. Introduction and Outline.srt3.53 KB
1. Outline and Review/2. Review of Important Concepts.mp45.72 MB
1. Outline and Review/2. Review of Important Concepts.srt6.39 KB
1. Outline and Review/3. Where to get the code and data for this course.mp45.59 MB
1. Outline and Review/3. Where to get the code and data for this course.srt4.9 KB
1. Outline and Review/4. How to Succeed in this Course.mp46.41 MB
1. Outline and Review/4. How to Succeed in this Course.srt4.29 KB
1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp418.91 MB
1. Outline and Review/5. Tensorflow or Theano - Your Choice!.srt5.95 KB
1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.mp410.07 MB
1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.srt4.39 KB
2. Convolution/1. Real-Life Examples of Convolution.mp482.19 MB
2. Convolution/1. Real-Life Examples of Convolution.srt9.3 KB
2. Convolution/2. Beginner's Guide to Convolution.mp434.3 MB
2. Convolution/2. Beginner's Guide to Convolution.srt8.24 KB
2. Convolution/3. What is convolution.mp48.54 MB
2. Convolution/3. What is convolution.srt9.35 KB
2. Convolution/4. Convolution example with audio Echo.mp412.1 MB
2. Convolution/4. Convolution example with audio Echo.srt6.7 KB
2. Convolution/5. Convolution example with images Gaussian Blur.mp412.25 MB
2. Convolution/5. Convolution example with images Gaussian Blur.srt4.06 KB
2. Convolution/6. Convolution example with images Edge Detection.mp47.91 MB
2. Convolution/6. Convolution example with images Edge Detection.srt3.26 KB
2. Convolution/7. Write Convolution Yourself.mp418.34 MB
2. Convolution/7. Write Convolution Yourself.srt11.6 KB
2. Convolution/8. Alternative Views on Convolution.mp410.16 MB
2. Convolution/8. Alternative Views on Convolution.srt8.69 KB
3. Convolutional Neural Network Description/1. Translational Invariance.mp43.63 MB
3. Convolutional Neural Network Description/1. Translational Invariance.srt4.05 KB
3. Convolutional Neural Network Description/2. Architecture of a CNN.mp48.49 MB
3. Convolutional Neural Network Description/2. Architecture of a CNN.srt8.33 KB
3. Convolutional Neural Network Description/3. Convolution on 3-D Images.mp48.54 MB
3. Convolutional Neural Network Description/3. Convolution on 3-D Images.srt14.69 KB
3. Convolutional Neural Network Description/4. Tracking Shapes in a CNN.mp413.24 MB
3. Convolutional Neural Network Description/4. Tracking Shapes in a CNN.srt21.32 KB
3. Convolutional Neural Network Description/5. Relationship to Biology.mp43.94 MB
3. Convolutional Neural Network Description/5. Relationship to Biology.srt3.69 KB
3. Convolutional Neural Network Description/6. Convolution and Pooling Gradients.mp44.21 MB
3. Convolutional Neural Network Description/6. Convolution and Pooling Gradients.srt4.62 KB
3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp421.68 MB
3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.srt19.71 KB
4. Convolutional Neural Network in Theano/1. Theano - Building the CNN components.mp46.99 MB
4. Convolutional Neural Network in Theano/1. Theano - Building the CNN components.srt7.25 KB
4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp439.36 MB
4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.srt6.91 KB
4. Convolutional Neural Network in Theano/3. Visualizing the Learned Filters.mp48.94 MB
4. Convolutional Neural Network in Theano/3. Visualizing the Learned Filters.srt5.89 KB
5. Convolutional Neural Network in TensorFlow/1. TensorFlow - Building the CNN components.mp45.89 MB
5. Convolutional Neural Network in TensorFlow/1. TensorFlow - Building the CNN components.srt6.28 KB
5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp479.1 MB
5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.srt5.9 KB
6. Practical Tips/1. Practical Image Processing Tips.mp44.94 MB
6. Practical Tips/1. Practical Image Processing Tips.srt5.39 KB
6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp419.57 MB
6. Practical Tips/2. Advanced CNNs and how to Design your Own.srt15.79 KB
7. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp49.82 MB
7. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.srt6.89 KB
7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp421.43 MB
7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.srt19.77 KB
7. Project Facial Expression Recognition/3. The class imbalance problem.mp410.12 MB
7. Project Facial Expression Recognition/3. The class imbalance problem.srt9.03 KB
7. Project Facial Expression Recognition/4. Utilities walkthrough.mp413.49 MB
7. Project Facial Expression Recognition/4. Utilities walkthrough.srt6.69 KB
7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp451.69 MB
7. Project Facial Expression Recognition/5. Convolutional Net in Theano.srt19.59 KB
7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp447.69 MB
7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.srt17.73 KB
7. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp42.91 MB
7. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.srt1.74 KB
8. Appendix/1. What is the Appendix.mp45.45 MB
8. Appendix/1. What is the Appendix.srt3.82 KB
8. Appendix/10. Is Theano Dead.mp417.81 MB
8. Appendix/10. Is Theano Dead.srt13.81 KB
8. Appendix/11. What order should I take your courses in (part 1).mp429.33 MB
8. Appendix/11. What order should I take your courses in (part 1).srt17.1 KB
8. Appendix/12. What order should I take your courses in (part 2).mp437.62 MB
8. Appendix/12. What order should I take your courses in (part 2).srt25.11 KB
8. Appendix/2. Windows-Focused Environment Setup 2018.mp4186.42 MB
8. Appendix/2. Windows-Focused Environment Setup 2018.srt21.64 KB
8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.92 MB
8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt16.81 KB
8. Appendix/4. How to Code by Yourself (part 1).mp424.54 MB
8. Appendix/4. How to Code by Yourself (part 1).srt27.77 KB
8. Appendix/5. How to Code by Yourself (part 2).mp414.8 MB
8. Appendix/5. How to Code by Yourself (part 2).srt16.12 KB
8. Appendix/6. How to Uncompress a .tar.gz file.mp45.43 MB
8. Appendix/6. How to Uncompress a .tar.gz file.srt4.39 KB
8. Appendix/7. How to Succeed in this Course (Long Version).mp418.31 MB
8. Appendix/7. How to Succeed in this Course (Long Version).srt15.47 KB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.95 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt33.92 KB
8. Appendix/9. Python 2 vs Python 3.mp47.83 MB
8. Appendix/9. Python 2 vs Python 3.srt6.65 KB
[Tutorialsplanet.NET].url128 B

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