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Java Machine Learning for Computer Vision [Video]

  • 收录时间:2018-08-27 18:50:35
  • 文件大小:801MB
  • 下载次数:90
  • 最近下载:2020-12-05 16:18:37
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文件列表

  1. 4.Real Time Object Detection/28.Build a Java Real Time Video Car and Pedestrians Detection Application.mp4 84MB
  2. Exercise Files/code_34273.zip 54MB
  3. 5.Creating Art with Neural Style Transfer/33.Build a Neural Network Which Produces Art.mp4 38MB
  4. 3.Transfer Learning and Deep CNN Architectures/22.Building Animal Image Classification (Using Transfer Learning and VGG-16 Architecture).mp4 38MB
  5. 2.Convolution Neural Network Architectures/12.Java Edge Detection Application.mp4 34MB
  6. 1.Introduction to Computer Vision and Training Neural Networks/10.Build a Handwritten Digit Recognizer with 97% Accuracy.mp4 34MB
  7. 2.Convolution Neural Network Architectures/17.Improve Handwritten Digit Recognition Application (With 99.95% Accuracy).mp4 31MB
  8. 6.Face Recognition/38.Build Face Recognition Java Application.mp4 29MB
  9. 1.Introduction to Computer Vision and Training Neural Networks/04.How Is Neural Network Learning.mp4 27MB
  10. 4.Real Time Object Detection/26.Detecting Objects with YOLO Algorithm.mp4 23MB
  11. 1.Introduction to Computer Vision and Training Neural Networks/07.Optimization Algorithms.mp4 22MB
  12. 5.Creating Art with Neural Style Transfer/32.Applying Style Cost Function.mp4 21MB
  13. 4.Real Time Object Detection/25.Convolution Sliding Window.mp4 20MB
  14. 1.Introduction to Computer Vision and Training Neural Networks/09.Images and Outputs Representations.mp4 20MB
  15. 3.Transfer Learning and Deep CNN Architectures/18.Working with Classical Networks.mp4 19MB
  16. 2.Convolution Neural Network Architectures/11.Understanding Edge Detection.mp4 18MB
  17. 1.Introduction to Computer Vision and Training Neural Networks/06.Effective Training Techniques.mp4 17MB
  18. 4.Real Time Object Detection/23.Resolving Object Localization Problem.mp4 16MB
  19. 4.Real Time Object Detection/27.Max Suppression and Anchor Boxes.mp4 16MB
  20. 1.Introduction to Computer Vision and Training Neural Networks/01.The Course Overview.mp4 15MB
  21. 1.Introduction to Computer Vision and Training Neural Networks/08.Neural Network Training Parameters.mp4 15MB
  22. 4.Real Time Object Detection/24.Object Detection with Sliding Window Solution.mp4 15MB
  23. 6.Face Recognition/36.Exploring Triplet Loss.mp4 15MB
  24. 3.Transfer Learning and Deep CNN Architectures/21.Applying Transfer Learning.mp4 15MB
  25. 3.Transfer Learning and Deep CNN Architectures/20.The Power of 1x1 Convolution and Inception Network.mp4 15MB
  26. 1.Introduction to Computer Vision and Training Neural Networks/05.Organizing Your Data and Application.mp4 14MB
  27. 1.Introduction to Computer Vision and Training Neural Networks/03.Exploring Neural Network.mp4 13MB
  28. 2.Convolution Neural Network Architectures/16.Building and Training Convolutional Neural Network.mp4 12MB
  29. 5.Creating Art with Neural Style Transfer/30.Neural Style Transfer.mp4 12MB
  30. 6.Face Recognition/34.Problems in Face Detection.mp4 12MB
  31. 3.Transfer Learning and Deep CNN Architectures/19.Using Residual Networks for Image Recognition.mp4 12MB
  32. 2.Convolution Neural Network Architectures/14.Working with Convolutional Layers Parameters.mp4 11MB
  33. 5.Creating Art with Neural Style Transfer/29.What Are Convolution Network Layers Learning.mp4 11MB
  34. 2.Convolution Neural Network Architectures/15.Pooling Layers.mp4 10MB
  35. 1.Introduction to Computer Vision and Training Neural Networks/02.Computer Vision State.mp4 10MB
  36. 5.Creating Art with Neural Style Transfer/31.Applying Content Cost Function.mp4 10MB
  37. 2.Convolution Neural Network Architectures/13.Convolution on Colored RGB Images.mp4 9MB
  38. 6.Face Recognition/35.Differentiating Inputs with Siamese Networks.mp4 7MB
  39. 6.Face Recognition/37.Binary Classification.mp4 7MB