Java Machine Learning for Computer Vision [Video]
大小
800.92 MB
文件数
39
Info Hash:
00CA9A4EB895D24CFCC29663D81106225F1A1DD0
收录时间
2026-02-05 06:02:27
更新时间
2026-02-05 06:02:27
文件列表 (39)
4.Real Time Object Detection/28.Build a Java Real Time Video Car and Pedestrians Detection Application.mp4
83.67 MB
1.Introduction to Computer Vision and Training Neural Networks/02.Computer Vision State.mp4
9.9 MB
1.Introduction to Computer Vision and Training Neural Networks/03.Exploring Neural Network.mp4
13.01 MB
1.Introduction to Computer Vision and Training Neural Networks/04.How Is Neural Network Learning.mp4
26.61 MB
1.Introduction to Computer Vision and Training Neural Networks/05.Organizing Your Data and Application.mp4
13.61 MB
1.Introduction to Computer Vision and Training Neural Networks/06.Effective Training Techniques.mp4
16.94 MB
1.Introduction to Computer Vision and Training Neural Networks/07.Optimization Algorithms.mp4
21.83 MB
1.Introduction to Computer Vision and Training Neural Networks/08.Neural Network Training Parameters.mp4
15.37 MB
1.Introduction to Computer Vision and Training Neural Networks/09.Images and Outputs Representations.mp4
19.97 MB
1.Introduction to Computer Vision and Training Neural Networks/10.Build a Handwritten Digit Recognizer with 97% Accuracy.mp4
34.3 MB
2.Convolution Neural Network Architectures/11.Understanding Edge Detection.mp4
18.36 MB
2.Convolution Neural Network Architectures/12.Java Edge Detection Application.mp4
34.33 MB
2.Convolution Neural Network Architectures/13.Convolution on Colored RGB Images.mp4
8.91 MB
2.Convolution Neural Network Architectures/14.Working with Convolutional Layers Parameters.mp4
10.86 MB
2.Convolution Neural Network Architectures/15.Pooling Layers.mp4
10.11 MB
2.Convolution Neural Network Architectures/16.Building and Training Convolutional Neural Network.mp4
12.17 MB
2.Convolution Neural Network Architectures/17.Improve Handwritten Digit Recognition Application (With 99.95% Accuracy).mp4
31.03 MB
3.Transfer Learning and Deep CNN Architectures/18.Working with Classical Networks.mp4
19.11 MB
3.Transfer Learning and Deep CNN Architectures/19.Using Residual Networks for Image Recognition.mp4
11.75 MB
3.Transfer Learning and Deep CNN Architectures/20.The Power of 1x1 Convolution and Inception Network.mp4
14.57 MB
3.Transfer Learning and Deep CNN Architectures/21.Applying Transfer Learning.mp4
14.84 MB
3.Transfer Learning and Deep CNN Architectures/22.Building Animal Image Classification (Using Transfer Learning and VGG-16 Architecture).mp4
37.56 MB
4.Real Time Object Detection/23.Resolving Object Localization Problem.mp4
16.31 MB
4.Real Time Object Detection/24.Object Detection with Sliding Window Solution.mp4
15.19 MB
4.Real Time Object Detection/25.Convolution Sliding Window.mp4
20.09 MB
4.Real Time Object Detection/26.Detecting Objects with YOLO Algorithm.mp4
23.11 MB
4.Real Time Object Detection/27.Max Suppression and Anchor Boxes.mp4
16.06 MB
1.Introduction to Computer Vision and Training Neural Networks/01.The Course Overview.mp4
15.5 MB
5.Creating Art with Neural Style Transfer/29.What Are Convolution Network Layers Learning.mp4
10.72 MB
5.Creating Art with Neural Style Transfer/30.Neural Style Transfer.mp4
12.06 MB
5.Creating Art with Neural Style Transfer/31.Applying Content Cost Function.mp4
9.81 MB
5.Creating Art with Neural Style Transfer/32.Applying Style Cost Function.mp4
20.82 MB
5.Creating Art with Neural Style Transfer/33.Build a Neural Network Which Produces Art.mp4
37.78 MB
6.Face Recognition/34.Problems in Face Detection.mp4
12.04 MB
6.Face Recognition/35.Differentiating Inputs with Siamese Networks.mp4
6.95 MB
6.Face Recognition/36.Exploring Triplet Loss.mp4
15.15 MB
6.Face Recognition/37.Binary Classification.mp4
6.68 MB
6.Face Recognition/38.Build Face Recognition Java Application.mp4
29.41 MB
Exercise Files/code_34273.zip
54.45 MB