Udemy-Deep-Learning-Conv-1mvjQ
- 1. Outline and Review\\/1. Introduction and Outline.mp42.92MB
- 1. Outline and Review\\/2. Review of Important Concepts.mp45.72MB
- 1. Outline and Review\\/3. Where to get the code and data for this course.mp45.59MB
- 1. Outline and Review\\/4. How to Succeed in this Course.mp46.41MB
- 1. Outline and Review\\/5. Tensorflow or Theano - Your Choice!.mp418.91MB
- 1. Outline and Review\\/6. How to load the SVHN data and benchrk a vanilla deep network.mp410.07MB
- 2. Convolution\\/1. Real-Life Examples of Convolution.mp482.19MB
- 2. Convolution\\/2. Beginner\s Guide to Convolution.mp434.30MB
- 2. Convolution\\/3. What is convolution.mp48.54MB
- 2. Convolution\\/4. Convolution example with audio Echo.mp412.10MB
- 2. Convolution\\/5. Convolution example with iges Gaussian Blur.mp412.25MB
- 2. Convolution\\/6. Convolution example with iges Edge Detection.mp47.91MB
- 2. Convolution\\/7. Write Convolution Yourself.mp418.34MB
- 2. Convolution\\/8. Alternative Views on Convolution.mp410.16MB
- 3. Convolutional Neural Network Desc<x>ription\\/1. Translational Invariance.mp43.63MB
- 3. Convolutional Neural Network Desc<x>ription\\/2. Architecture of a CNN.mp48.49MB
- 3. Convolutional Neural Network Desc<x>ription\\/3. Convolution on 3-D Iges.mp48.54MB
- 3. Convolutional Neural Network Desc<x>ription\\/4. Tracking Shapes in a CNN.mp413.24MB
- 3. Convolutional Neural Network Desc<x>ription\\/5. Relationship to Biology.mp43.94MB
- 3. Convolutional Neural Network Desc<x>ription\\/6. Convolution and Pooling Grants.mp44.21MB
- 3. Convolutional Neural Network Desc<x>ription\\/7. LeNet - How the Shapes Go Together.mp421.68MB
- 4. Convolutional Neural Network in Theano\\/1. Theano - Building the CNN components.mp46.99MB
- 4. Convolutional Neural Network in Theano\\/2. Theano - Full CNN and Test on SVHN.mp439.36MB
- 4. Convolutional Neural Network in Theano\\/3. Visualizing the Learned Filters.mp48.94MB
- 5. Convolutional Neural Network in TensorFlow\\/1. TensorFlow - Building the CNN components.mp45.89MB
- 5. Convolutional Neural Network in TensorFlow\\/2. TensorFlow - Full CNN and Test on SVHN.mp479.10MB
- 6. Practical Tips\\/1. Practical Ige Processing Tips.mp44.94MB
- 6. Practical Tips\\/2. Advanced CNNs and how to Design your Own.mp419.57MB
- 7. Project Facial ex<x>pression Recognition\\/1. Facial ex<x>pression Recognition Project Introduction.mp49.82MB
- 7. Project Facial ex<x>pression Recognition\\/2. Facial ex<x>pression Recognition Problem Desc<x>ription.mp421.43MB
- 7. Project Facial ex<x>pression Recognition\\/3. The class imbalance problem.mp410.12MB
- 7. Project Facial ex<x>pression Recognition\\/4. Utilities walkthrough.mp413.49MB
- 7. Project Facial ex<x>pression Recognition\\/5. Convolutional Net in Theano.mp451.69MB
- 7. Project Facial ex<x>pression Recognition\\/6. Convolutional Net in TensorFlow.mp447.69MB
- 7. Project Facial ex<x>pression Recognition\\/7. Facial ex<x>pression Recognition Project Sumry.mp42.91MB
- 8. Appendix\\/10. Is Theano Dead.mp417.81MB
- 8. Appendix\\/11. What order should I take your courses in (part 1).mp429.33MB
- 8. Appendix\\/12. What order should I take your courses in (part 2).mp437.62MB
- 8. Appendix\\/1. What is the Appendix.mp45.45MB
- 8. Appendix\\/2. Windows-Focused Environment Setup 2018.mp4186.42MB
- 8. Appendix\\/3. How to install Numpy Scipy tplotlib Pandas IPython Theano and TensorFlow.mp443.92MB
- 8. Appendix\\/4. How to Code by Yourself (part 1).mp424.54MB
- 8. Appendix\\/5. How to Code by Yourself (part 2).mp414.80MB
- 8. Appendix\\/6. How to Uncompress a .tar.gz file.mp45.43MB
- 8. Appendix\\/7. How to Succeed in this Course (Long Version).mp418.31MB
- 8. Appendix\\/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.95MB
- 8. Appendix\\/9. Python 2 vs Python 3.mp47.83MB
- CreateTime2022-10-26
- UpdateTime2022-11-01
- FileTotalCount97
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