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[GigaCourse.com] Udemy - Deep Learning Convolutional Neural Networks in Python
magnet:?xt=urn:btih:07b2ec43aa51edc9fba486366a0822cd8a40ac55&dn=[GigaCourse.com] Udemy - Deep Learning Convolutional Neural Networks in Python
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文件列表详情
07b2ec43aa51edc9fba486366a0822cd8a40ac55
infohash:
47
文件数量
1.03 GB
文件大小
2021-1-2 18:54
创建日期
2024-6-20 08:37
最后访问
相关分词
GigaCourse
com
Udemy
-
Deep
Learning
Convolutional
Neural
Networks
in
Python
1. Outline and Review/1. Introduction and Outline.mp4 2.92 MB
1. Outline and Review/2. Review of Important Concepts.mp4 5.72 MB
1. Outline and Review/3. Where to get the code and data for this course.mp4 5.59 MB
1. Outline and Review/4. How to Succeed in this Course.mp4 6.41 MB
1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 18.91 MB
1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.mp4 10.07 MB
2. Convolution/1. Real-Life Examples of Convolution.mp4 82.19 MB
2. Convolution/2. Beginner's Guide to Convolution.mp4 34.3 MB
2. Convolution/3. What is convolution.mp4 8.54 MB
2. Convolution/4. Convolution example with audio Echo.mp4 12.1 MB
2. Convolution/5. Convolution example with images Gaussian Blur.mp4 12.25 MB
2. Convolution/6. Convolution example with images Edge Detection.mp4 7.91 MB
2. Convolution/7. Write Convolution Yourself.mp4 18.34 MB
2. Convolution/8. Alternative Views on Convolution.mp4 10.16 MB
3. Convolutional Neural Network Description/1. Translational Invariance.mp4 3.63 MB
3. Convolutional Neural Network Description/2. Architecture of a CNN.mp4 8.49 MB
3. Convolutional Neural Network Description/3. Convolution on 3-D Images.mp4 8.54 MB
3. Convolutional Neural Network Description/4. Tracking Shapes in a CNN.mp4 13.24 MB
3. Convolutional Neural Network Description/5. Relationship to Biology.mp4 3.94 MB
3. Convolutional Neural Network Description/6. Convolution and Pooling Gradients.mp4 4.21 MB
3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4 21.68 MB
4. Convolutional Neural Network in Theano/1. Theano - Building the CNN components.mp4 6.99 MB
4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 39.36 MB
4. Convolutional Neural Network in Theano/3. Visualizing the Learned Filters.mp4 8.94 MB
5. Convolutional Neural Network in TensorFlow/1. TensorFlow - Building the CNN components.mp4 5.89 MB
5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp4 79.1 MB
6. Practical Tips/1. Practical Image Processing Tips.mp4 4.94 MB
6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp4 19.57 MB
7. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4 9.82 MB
7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 21.43 MB
7. Project Facial Expression Recognition/3. The class imbalance problem.mp4 10.12 MB
7. Project Facial Expression Recognition/4. Utilities walkthrough.mp4 13.49 MB
7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4 51.69 MB
7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp4 47.69 MB
7. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp4 2.91 MB
8. Appendix/1. What is the Appendix.mp4 5.45 MB
8. Appendix/10. Is Theano Dead.mp4 17.81 MB
8. Appendix/11. What order should I take your courses in (part 1).mp4 29.33 MB
8. Appendix/12. What order should I take your courses in (part 2).mp4 37.62 MB
8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 186.42 MB
8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
8. Appendix/4. How to Code by Yourself (part 1).mp4 24.54 MB
8. Appendix/5. How to Code by Yourself (part 2).mp4 14.8 MB
8. Appendix/6. How to Uncompress a .tar.gz file.mp4 5.43 MB
8. Appendix/7. How to Succeed in this Course (Long Version).mp4 18.31 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.95 MB
8. Appendix/9. Python 2 vs Python 3.mp4 7.83 MB
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