Java Machine Learning for Computer Vision [Video]

1. 4.Real Time Object Detection/28.Build a Java Real Time Video Car and Pedestrians Detection Application.mp4 83.67 MB
2. Exercise Files/code_34273.zip 54.45 MB
3. 5.Creating Art with Neural Style Transfer/33.Build a Neural Network Which Produces Art.mp4 37.78 MB
4. 3.Transfer Learning and Deep CNN Architectures/22.Building Animal Image Classification (Using Transfer Learning and VGG-16 Architecture).mp4 37.56 MB
5. 2.Convolution Neural Network Architectures/12.Java Edge Detection Application.mp4 34.33 MB
6. 1.Introduction to Computer Vision and Training Neural Networks/10.Build a Handwritten Digit Recognizer with 97% Accuracy.mp4 34.30 MB
7. 2.Convolution Neural Network Architectures/17.Improve Handwritten Digit Recognition Application (With 99.95% Accuracy).mp4 31.03 MB
8. 6.Face Recognition/38.Build Face Recognition Java Application.mp4 29.41 MB
9. 1.Introduction to Computer Vision and Training Neural Networks/04.How Is Neural Network Learning.mp4 26.61 MB
10. 4.Real Time Object Detection/26.Detecting Objects with YOLO Algorithm.mp4 23.11 MB
11. 1.Introduction to Computer Vision and Training Neural Networks/07.Optimization Algorithms.mp4 21.83 MB
12. 5.Creating Art with Neural Style Transfer/32.Applying Style Cost Function.mp4 20.82 MB
13. 4.Real Time Object Detection/25.Convolution Sliding Window.mp4 20.08 MB
14. 1.Introduction to Computer Vision and Training Neural Networks/09.Images and Outputs Representations.mp4 19.96 MB
15. 3.Transfer Learning and Deep CNN Architectures/18.Working with Classical Networks.mp4 19.11 MB
16. 2.Convolution Neural Network Architectures/11.Understanding Edge Detection.mp4 18.36 MB
17. 1.Introduction to Computer Vision and Training Neural Networks/06.Effective Training Techniques.mp4 16.94 MB
18. 4.Real Time Object Detection/23.Resolving Object Localization Problem.mp4 16.31 MB
19. 4.Real Time Object Detection/27.Max Suppression and Anchor Boxes.mp4 16.06 MB
20. 1.Introduction to Computer Vision and Training Neural Networks/01.The Course Overview.mp4 15.50 MB
21. 1.Introduction to Computer Vision and Training Neural Networks/08.Neural Network Training Parameters.mp4 15.37 MB
22. 4.Real Time Object Detection/24.Object Detection with Sliding Window Solution.mp4 15.19 MB
23. 6.Face Recognition/36.Exploring Triplet Loss.mp4 15.15 MB
24. 3.Transfer Learning and Deep CNN Architectures/21.Applying Transfer Learning.mp4 14.84 MB
25. 3.Transfer Learning and Deep CNN Architectures/20.The Power of 1x1 Convolution and Inception Network.mp4 14.57 MB
26. 1.Introduction to Computer Vision and Training Neural Networks/05.Organizing Your Data and Application.mp4 13.61 MB
27. 1.Introduction to Computer Vision and Training Neural Networks/03.Exploring Neural Network.mp4 13.01 MB
28. 2.Convolution Neural Network Architectures/16.Building and Training Convolutional Neural Network.mp4 12.17 MB
29. 5.Creating Art with Neural Style Transfer/30.Neural Style Transfer.mp4 12.06 MB
30. 6.Face Recognition/34.Problems in Face Detection.mp4 12.04 MB
31. 3.Transfer Learning and Deep CNN Architectures/19.Using Residual Networks for Image Recognition.mp4 11.75 MB
32. 2.Convolution Neural Network Architectures/14.Working with Convolutional Layers Parameters.mp4 10.86 MB
33. 5.Creating Art with Neural Style Transfer/29.What Are Convolution Network Layers Learning.mp4 10.72 MB
34. 2.Convolution Neural Network Architectures/15.Pooling Layers.mp4 10.11 MB
35. 1.Introduction to Computer Vision and Training Neural Networks/02.Computer Vision State.mp4 9.90 MB
36. 5.Creating Art with Neural Style Transfer/31.Applying Content Cost Function.mp4 9.81 MB
37. 2.Convolution Neural Network Architectures/13.Convolution on Colored RGB Images.mp4 8.91 MB
38. 6.Face Recognition/35.Differentiating Inputs with Siamese Networks.mp4 6.95 MB
39. 6.Face Recognition/37.Binary Classification.mp4 6.68 MB