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[FreeTutorials.Us] Udemy - Deep Learning Convolutional Neural Networks in Python

Torrent Hash :
c4b15b0774432c436738cf229c8b2c112d1ba8a5
Content Size :
1.03 GB
Date :
2018-09-28
Short Magnet :
Short Magnet
https://0mag.biz/!DNDjV6 QR code
Files ( 97 )size
8. Appendix/2. Windows-Focused Environment Setup 2018.mp4186.42 MB
2. Convolution/1. Real-Life Examples of Convolution.mp482.19 MB
5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp479.1 MB
7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp451.69 MB
7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp447.69 MB
8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.92 MB
4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp439.36 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.95 MB
8. Appendix/12. What order should I take your courses in (part 2).mp437.62 MB
2. Convolution/2. Beginner's Guide to Convolution.mp434.3 MB
8. Appendix/11. What order should I take your courses in (part 1).mp429.33 MB
8. Appendix/4. How to Code by Yourself (part 1).mp424.54 MB
3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp421.68 MB
7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp421.43 MB
6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp419.57 MB
1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp418.91 MB
2. Convolution/7. Write Convolution Yourself.mp418.34 MB
8. Appendix/7. How to Succeed in this Course (Long Version).mp418.31 MB
8. Appendix/10. Is Theano Dead.mp417.81 MB
8. Appendix/5. How to Code by Yourself (part 2).mp414.8 MB
7. Project Facial Expression Recognition/4. Utilities walkthrough.mp413.49 MB
3. Convolutional Neural Network Description/4. Tracking Shapes in a CNN.mp413.24 MB
2. Convolution/5. Convolution example with images Gaussian Blur.mp412.25 MB
2. Convolution/4. Convolution example with audio Echo.mp412.1 MB
2. Convolution/8. Alternative Views on Convolution.mp410.16 MB
7. Project Facial Expression Recognition/3. The class imbalance problem.mp410.12 MB
1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.mp410.07 MB
7. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp49.82 MB
4. Convolutional Neural Network in Theano/3. Visualizing the Learned Filters.mp48.94 MB
2. Convolution/3. What is convolution.mp48.54 MB
3. Convolutional Neural Network Description/3. Convolution on 3-D Images.mp48.54 MB
3. Convolutional Neural Network Description/2. Architecture of a CNN.mp48.49 MB
2. Convolution/6. Convolution example with images Edge Detection.mp47.91 MB
8. Appendix/9. Python 2 vs Python 3.mp47.83 MB
4. Convolutional Neural Network in Theano/1. Theano - Building the CNN components.mp46.99 MB
1. Outline and Review/4. How to Succeed in this Course.mp46.41 MB
5. Convolutional Neural Network in TensorFlow/1. TensorFlow - Building the CNN components.mp45.89 MB
1. Outline and Review/2. Review of Important Concepts.mp45.72 MB
1. Outline and Review/3. Where to get the code and data for this course.mp45.59 MB
8. Appendix/1. What is the Appendix.mp45.45 MB
8. Appendix/6. How to Uncompress a .tar.gz file.mp45.43 MB
6. Practical Tips/1. Practical Image Processing Tips.mp44.94 MB
3. Convolutional Neural Network Description/6. Convolution and Pooling Gradients.mp44.21 MB
3. Convolutional Neural Network Description/5. Relationship to Biology.mp43.94 MB
3. Convolutional Neural Network Description/1. Translational Invariance.mp43.63 MB
1. Outline and Review/1. Introduction and Outline.mp42.92 MB
7. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp42.91 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt33.92 KB
8. Appendix/4. How to Code by Yourself (part 1).srt27.77 KB
8. Appendix/12. What order should I take your courses in (part 2).srt25.11 KB

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