Java Machine Learning for Computer Vision [Video]

磁力链接/BT种子名称

Java Machine Learning for Computer Vision [Video]

磁力链接/BT种子简介

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文件大小：800.92M
已经下载：1039次
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收录时间：2018-08-04
最近下载：2025-07-17

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文件列表

  • 4.Real Time Object Detection/28.Build a Java Real Time Video Car and Pedestrians Detection Application.mp4 87.7 MB
  • 1.Introduction to Computer Vision and Training Neural Networks/02.Computer Vision State.mp4 10.4 MB
  • 1.Introduction to Computer Vision and Training Neural Networks/03.Exploring Neural Network.mp4 13.6 MB
  • 1.Introduction to Computer Vision and Training Neural Networks/04.How Is Neural Network Learning.mp4 27.9 MB
  • 1.Introduction to Computer Vision and Training Neural Networks/05.Organizing Your Data and Application.mp4 14.3 MB
  • 1.Introduction to Computer Vision and Training Neural Networks/06.Effective Training Techniques.mp4 17.8 MB
  • 1.Introduction to Computer Vision and Training Neural Networks/07.Optimization Algorithms.mp4 22.9 MB
  • 1.Introduction to Computer Vision and Training Neural Networks/08.Neural Network Training Parameters.mp4 16.1 MB
  • 1.Introduction to Computer Vision and Training Neural Networks/09.Images and Outputs Representations.mp4 20.9 MB
  • 1.Introduction to Computer Vision and Training Neural Networks/10.Build a Handwritten Digit Recognizer with 97% Accuracy.mp4 36.0 MB
  • 2.Convolution Neural Network Architectures/11.Understanding Edge Detection.mp4 19.2 MB
  • 2.Convolution Neural Network Architectures/12.Java Edge Detection Application.mp4 36.0 MB
  • 2.Convolution Neural Network Architectures/13.Convolution on Colored RGB Images.mp4 9.3 MB
  • 2.Convolution Neural Network Architectures/14.Working with Convolutional Layers Parameters.mp4 11.4 MB
  • 2.Convolution Neural Network Architectures/15.Pooling Layers.mp4 10.6 MB
  • 2.Convolution Neural Network Architectures/16.Building and Training Convolutional Neural Network.mp4 12.8 MB
  • 2.Convolution Neural Network Architectures/17.Improve Handwritten Digit Recognition Application (With 99.95% Accuracy).mp4 32.5 MB
  • 3.Transfer Learning and Deep CNN Architectures/18.Working with Classical Networks.mp4 20.0 MB
  • 3.Transfer Learning and Deep CNN Architectures/19.Using Residual Networks for Image Recognition.mp4 12.3 MB
  • 3.Transfer Learning and Deep CNN Architectures/20.The Power of 1x1 Convolution and Inception Network.mp4 15.3 MB
  • 3.Transfer Learning and Deep CNN Architectures/21.Applying Transfer Learning.mp4 15.6 MB
  • 3.Transfer Learning and Deep CNN Architectures/22.Building Animal Image Classification (Using Transfer Learning and VGG-16 Architecture).mp4 39.4 MB
  • 4.Real Time Object Detection/23.Resolving Object Localization Problem.mp4 17.1 MB
  • 4.Real Time Object Detection/24.Object Detection with Sliding Window Solution.mp4 15.9 MB
  • 4.Real Time Object Detection/25.Convolution Sliding Window.mp4 21.1 MB
  • 4.Real Time Object Detection/26.Detecting Objects with YOLO Algorithm.mp4 24.2 MB
  • 4.Real Time Object Detection/27.Max Suppression and Anchor Boxes.mp4 16.8 MB
  • 1.Introduction to Computer Vision and Training Neural Networks/01.The Course Overview.mp4 16.3 MB
  • 5.Creating Art with Neural Style Transfer/29.What Are Convolution Network Layers Learning.mp4 11.2 MB
  • 5.Creating Art with Neural Style Transfer/30.Neural Style Transfer.mp4 12.6 MB
  • 5.Creating Art with Neural Style Transfer/31.Applying Content Cost Function.mp4 10.3 MB
  • 5.Creating Art with Neural Style Transfer/32.Applying Style Cost Function.mp4 21.8 MB
  • 5.Creating Art with Neural Style Transfer/33.Build a Neural Network Which Produces Art.mp4 39.6 MB
  • 6.Face Recognition/34.Problems in Face Detection.mp4 12.6 MB
  • 6.Face Recognition/35.Differentiating Inputs with Siamese Networks.mp4 7.3 MB
  • 6.Face Recognition/36.Exploring Triplet Loss.mp4 15.9 MB
  • 6.Face Recognition/37.Binary Classification.mp4 7.0 MB
  • 6.Face Recognition/38.Build Face Recognition Java Application.mp4 30.8 MB
  • Exercise Files/code_34273.zip 57.1 MB

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