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种子名称： [GigaCourse.com] Udemy - Deep Learning Convolutional Neural Networks in Python
文件类型： 视频
文件数目： 47个文件
文件大小： 1.03 GB
收录时间： 2021-1-2 18:54
已经下载： 3次
资源热度： 330
最近下载： 2024-12-22 20:20

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[GigaCourse.com] Udemy - Deep Learning Convolutional Neural Networks in Python.torrent

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 benchmark a vanilla deep network.mp410.07MB

2. Convolution/1. Real-Life Examples of Convolution.mp482.19MB

2. Convolution/2. Beginner's Guide to Convolution.mp434.3MB

2. Convolution/3. What is convolution.mp48.54MB

2. Convolution/4. Convolution example with audio Echo.mp412.1MB

2. Convolution/5. Convolution example with images Gaussian Blur.mp412.25MB

2. Convolution/6. Convolution example with images 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 Description/1. Translational Invariance.mp43.63MB

3. Convolutional Neural Network Description/2. Architecture of a CNN.mp48.49MB

3. Convolutional Neural Network Description/3. Convolution on 3-D Images.mp48.54MB

3. Convolutional Neural Network Description/4. Tracking Shapes in a CNN.mp413.24MB

3. Convolutional Neural Network Description/5. Relationship to Biology.mp43.94MB

3. Convolutional Neural Network Description/6. Convolution and Pooling Gradients.mp44.21MB

3. Convolutional Neural Network Description/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.mp479.1MB

6. Practical Tips/1. Practical Image Processing Tips.mp44.94MB

6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp419.57MB

7. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp49.82MB

7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp421.43MB

7. Project Facial Expression Recognition/3. The class imbalance problem.mp410.12MB

7. Project Facial Expression Recognition/4. Utilities walkthrough.mp413.49MB

7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp451.69MB

7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp447.69MB

7. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp42.91MB

8. Appendix/1. What is the Appendix.mp45.45MB

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/2. Windows-Focused Environment Setup 2018.mp4186.42MB

8. Appendix/3. How to install Numpy, Scipy, Matplotlib, 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).mp414.8MB

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