Java Machine Learning for Computer Vision [Video]
File List
- 4.Real Time Object Detection/28.Build a Java Real Time Video Car and Pedestrians Detection Application.mp4 83.7 MB
- Exercise Files/code_34273.zip 54.5 MB
- 5.Creating Art with Neural Style Transfer/33.Build a Neural Network Which Produces Art.mp4 37.8 MB
- 3.Transfer Learning and Deep CNN Architectures/22.Building Animal Image Classification (Using Transfer Learning and VGG-16 Architecture).mp4 37.6 MB
- 2.Convolution Neural Network Architectures/12.Java Edge Detection Application.mp4 34.3 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/17.Improve Handwritten Digit Recognition Application (With 99.95% Accuracy).mp4 31.0 MB
- 6.Face Recognition/38.Build Face Recognition Java Application.mp4 29.4 MB
- 1.Introduction to Computer Vision and Training Neural Networks/04.How Is Neural Network Learning.mp4 26.6 MB
- 4.Real Time Object Detection/26.Detecting Objects with YOLO Algorithm.mp4 23.1 MB
- 1.Introduction to Computer Vision and Training Neural Networks/07.Optimization Algorithms.mp4 21.8 MB
- 5.Creating Art with Neural Style Transfer/32.Applying Style Cost Function.mp4 20.8 MB
- 4.Real Time Object Detection/25.Convolution Sliding Window.mp4 20.1 MB
- 1.Introduction to Computer Vision and Training Neural Networks/09.Images and Outputs Representations.mp4 20.0 MB
- 3.Transfer Learning and Deep CNN Architectures/18.Working with Classical Networks.mp4 19.1 MB
- 2.Convolution Neural Network Architectures/11.Understanding Edge Detection.mp4 18.4 MB
- 1.Introduction to Computer Vision and Training Neural Networks/06.Effective Training Techniques.mp4 16.9 MB
- 4.Real Time Object Detection/23.Resolving Object Localization Problem.mp4 16.3 MB
- 4.Real Time Object Detection/27.Max Suppression and Anchor Boxes.mp4 16.1 MB
- 1.Introduction to Computer Vision and Training Neural Networks/01.The Course Overview.mp4 15.5 MB
- 1.Introduction to Computer Vision and Training Neural Networks/08.Neural Network Training Parameters.mp4 15.4 MB
- 4.Real Time Object Detection/24.Object Detection with Sliding Window Solution.mp4 15.2 MB
- 6.Face Recognition/36.Exploring Triplet Loss.mp4 15.1 MB
- 3.Transfer Learning and Deep CNN Architectures/21.Applying Transfer Learning.mp4 14.8 MB
- 3.Transfer Learning and Deep CNN Architectures/20.The Power of 1x1 Convolution and Inception Network.mp4 14.6 MB
- 1.Introduction to Computer Vision and Training Neural Networks/05.Organizing Your Data and Application.mp4 13.6 MB
- 1.Introduction to Computer Vision and Training Neural Networks/03.Exploring Neural Network.mp4 13.0 MB
- 2.Convolution Neural Network Architectures/16.Building and Training Convolutional Neural Network.mp4 12.2 MB
- 5.Creating Art with Neural Style Transfer/30.Neural Style Transfer.mp4 12.1 MB
- 6.Face Recognition/34.Problems in Face Detection.mp4 12.0 MB
- 3.Transfer Learning and Deep CNN Architectures/19.Using Residual Networks for Image Recognition.mp4 11.7 MB
- 2.Convolution Neural Network Architectures/14.Working with Convolutional Layers Parameters.mp4 10.9 MB
- 5.Creating Art with Neural Style Transfer/29.What Are Convolution Network Layers Learning.mp4 10.7 MB
- 2.Convolution Neural Network Architectures/15.Pooling Layers.mp4 10.1 MB
- 1.Introduction to Computer Vision and Training Neural Networks/02.Computer Vision State.mp4 9.9 MB
- 5.Creating Art with Neural Style Transfer/31.Applying Content Cost Function.mp4 9.8 MB
- 2.Convolution Neural Network Architectures/13.Convolution on Colored RGB Images.mp4 8.9 MB
- 6.Face Recognition/35.Differentiating Inputs with Siamese Networks.mp4 7.0 MB
- 6.Face Recognition/37.Binary Classification.mp4 6.7 MB
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