Udemy - Deep Learning Convolutional Neural Networks in Python

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name:	Udemy - Deep Learning Convolutional Neural Networks in Python
说明: This is the 3rd part in my Data Science and Machine Learning series on Deep Learning in Python. At this point, you already know a lot about neural networks and deep learning, including not just the basics like backpropagation, but how to improve it using modern techniques like momentum and adaptive learning rates. You've already written deep neural networks in  Theano  and  TensorFlow , and you know how to run code using the GPU.
YouTube 视频:
类别:	Tutorials
语言:	English
总大小:	1.03 GB
哈希信息:	B0BFA9D7271AE0D8F1F09387CBF105D8954157C8
增加:	fclab16
加入的日期:	2018-12-28 04:46:04
洪流地位:	Torrent Verified

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文件列表:

文件	大小
1. Outline and Review/1. Introduction and Outline.mp4	2.92 MB
1. Outline and Review/1. Introduction and Outline.srt	3.53 kB
1. Outline and Review/2. Review of Important Concepts.mp4	5.72 MB
1. Outline and Review/2. Review of Important Concepts.srt	6.39 kB
1. Outline and Review/3. Where to get the code and data for this course.mp4	5.59 MB
1. Outline and Review/3. Where to get the code and data for this course.srt	4.90 kB
1. Outline and Review/4. How to Succeed in this Course.mp4	6.41 MB
1. Outline and Review/4. How to Succeed in this Course.srt	4.29 kB
1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4	18.91 MB
1. Outline and Review/5. Tensorflow or Theano - Your Choice!.srt	5.95 kB
1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.mp4	10.07 MB
1. Outline and Review/6. How to load the SVHN data and benchmark a vanilla deep network.srt	4.39 kB
2. Convolution/1. Real-Life Examples of Convolution.mp4	82.19 MB
2. Convolution/1. Real-Life Examples of Convolution.srt	9.30 kB
2. Convolution/2. Beginner's Guide to Convolution.mp4	34.30 MB
2. Convolution/2. Beginner's Guide to Convolution.srt	8.24 kB
2. Convolution/3. What is convolution.mp4	8.54 MB
2. Convolution/3. What is convolution.srt	9.35 kB
2. Convolution/4. Convolution example with audio Echo.mp4	12.10 MB
2. Convolution/4. Convolution example with audio Echo.srt	6.70 kB
2. Convolution/5. Convolution example with images Gaussian Blur.mp4	12.25 MB
2. Convolution/5. Convolution example with images Gaussian Blur.srt	4.06 kB
2. Convolution/6. Convolution example with images Edge Detection.mp4	7.91 MB
2. Convolution/6. Convolution example with images Edge Detection.srt	3.26 kB
2. Convolution/7. Write Convolution Yourself.mp4	18.34 MB
2. Convolution/7. Write Convolution Yourself.srt	11.60 kB
2. Convolution/8. Alternative Views on Convolution.mp4	10.16 MB
2. Convolution/8. Alternative Views on Convolution.srt	8.69 kB
3. Convolutional Neural Network Description/1. Translational Invariance.mp4	3.63 MB
3. Convolutional Neural Network Description/1. Translational Invariance.srt	4.05 kB
3. Convolutional Neural Network Description/2. Architecture of a CNN.mp4	8.49 MB
3. Convolutional Neural Network Description/2. Architecture of a CNN.srt	8.33 kB
3. Convolutional Neural Network Description/3. Convolution on 3-D Images.mp4	8.54 MB
3. Convolutional Neural Network Description/3. Convolution on 3-D Images.srt	14.69 kB
3. Convolutional Neural Network Description/4. Tracking Shapes in a CNN.mp4	13.24 MB
3. Convolutional Neural Network Description/4. Tracking Shapes in a CNN.srt	21.32 kB
3. Convolutional Neural Network Description/5. Relationship to Biology.mp4	3.94 MB
3. Convolutional Neural Network Description/5. Relationship to Biology.srt	3.69 kB
3. Convolutional Neural Network Description/6. Convolution and Pooling Gradients.mp4	4.21 MB
3. Convolutional Neural Network Description/6. Convolution and Pooling Gradients.srt	4.62 kB
3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4	21.68 MB
3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.srt	19.71 kB
4. Convolutional Neural Network in Theano/1. Theano - Building the CNN components.mp4	6.99 MB
4. Convolutional Neural Network in Theano/1. Theano - Building the CNN components.srt	7.25 kB
4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4	39.36 MB
4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.srt	6.91 kB
4. Convolutional Neural Network in Theano/3. Visualizing the Learned Filters.mp4	8.94 MB
4. Convolutional Neural Network in Theano/3. Visualizing the Learned Filters.srt	5.89 kB
5. Convolutional Neural Network in TensorFlow/1. TensorFlow - Building the CNN components.mp4	5.89 MB
5. Convolutional Neural Network in TensorFlow/1. TensorFlow - Building the CNN components.srt	6.28 kB
5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp4	79.10 MB
5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.srt	5.90 kB
6. Practical Tips/1. Practical Image Processing Tips.mp4	4.94 MB
6. Practical Tips/1. Practical Image Processing Tips.srt	5.39 kB
6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp4	19.57 MB
6. Practical Tips/2. Advanced CNNs and how to Design your Own.srt	15.79 kB
7. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4	9.82 MB
7. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.srt	6.89 kB
7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4	21.43 MB
7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.srt	19.77 kB
7. Project Facial Expression Recognition/3. The class imbalance problem.mp4	10.12 MB
7. Project Facial Expression Recognition/3. The class imbalance problem.srt	9.03 kB
7. Project Facial Expression Recognition/4. Utilities walkthrough.mp4	13.49 MB
7. Project Facial Expression Recognition/4. Utilities walkthrough.srt	6.69 kB
7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4	51.69 MB
7. Project Facial Expression Recognition/5. Convolutional Net in Theano.srt	19.59 kB
7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp4	47.69 MB
7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.srt	17.73 kB
7. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp4	2.91 MB
7. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.srt	1.74 kB
8. Appendix/1. What is the Appendix.mp4	5.45 MB
8. Appendix/1. What is the Appendix.srt	3.82 kB
8. Appendix/10. Is Theano Dead.mp4	17.81 MB
8. Appendix/10. Is Theano Dead.srt	13.81 kB
8. Appendix/11. What order should I take your courses in (part 1).mp4	29.33 MB
8. Appendix/11. What order should I take your courses in (part 1).srt	17.10 kB
8. Appendix/12. What order should I take your courses in (part 2).mp4	37.62 MB
8. Appendix/12. What order should I take your courses in (part 2).srt	25.11 kB
8. Appendix/2. Windows-Focused Environment Setup 2018.mp4	186.42 MB
8. Appendix/2. Windows-Focused Environment Setup 2018.srt	21.64 kB
8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	43.92 MB
8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	16.81 kB
8. Appendix/4. How to Code by Yourself (part 1).mp4	24.54 MB
8. Appendix/4. How to Code by Yourself (part 1).srt	27.77 kB
8. Appendix/5. How to Code by Yourself (part 2).mp4	14.80 MB
8. Appendix/5. How to Code by Yourself (part 2).srt	16.12 kB
8. Appendix/6. How to Uncompress a .tar.gz file.mp4	5.43 MB
8. Appendix/6. How to Uncompress a .tar.gz file.srt	4.39 kB
8. Appendix/7. How to Succeed in this Course (Long Version).mp4	18.31 MB
8. Appendix/7. How to Succeed in this Course (Long Version).srt	15.47 kB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	38.95 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	33.92 kB
8. Appendix/9. Python 2 vs Python 3.mp4	7.83 MB
8. Appendix/9. Python 2 vs Python 3.srt	6.65 kB
[FreeCourseLab.com].url	126.00 B

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Udemy - Deep Learning Convolutional Neural Networks in Python