Deep learning for image segmentation using Tensorflow 2

Deep learning for image segmentation using Tensorflow 2 metadata, size 2411.65 MB, 155 files, category video, indexed at 2026-07-27.

大小:2.4 GB 格式:mp4 分类:视频 文件数量:155 个 发掘时间:2026-07-27 22:16:36 最后活跃:2026-07-27 22:16:36

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Infohash1c62bb05f6ab98f31d2a2d996ec59df4979a0296 总大小2.4 GB 格式mp4 分类视频 文件数155 发掘时间(北京时间)2026-07-27 22:16:36 最后活跃(北京时间)2026-07-27 22:16:36

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文件列表

文件名格式大小
016 Running the exported model on new examples locally.mp4mp4227.3 MB
TutsNode.com.txttxt63 B
016 Running the exported model on new examples locally.en.srtsrt26.0 KB
008 Windows installation _ Installing tensorflow with GPU support.en.srtsrt25.3 KB
002 Code for this course.en.srtsrt978 B
005 Annotating a custom dataset.en.srtsrt19.0 KB
007 Windows installation _ Installing tensorflow 2 object detection API.en.srtsrt15.6 KB
005 Modifying the configuration file - Part 1.en.srtsrt14.5 KB
002 Why deep learning for image segmentation_.en.srtsrt1.2 KB
003 Linux installation _ How to install tensorflow 2 with GPU support (part 2).en.srtsrt13.2 KB
002 Linux installation _ How to install tensorflow 2 with GPU support (part 1).en.srtsrt10.6 KB
013 Analyzing the results of the second training.en.srtsrt10.0 KB
external-assets-links.txttxt94 B
001 Quick introduction to Mask RCNN.en.srtsrt2.4 KB
012 Analyzing the results after the training of Mask RCNN model is finished.en.srtsrt9.8 KB
002 Mask RCNN as an extension of Faster RCNN.en.srtsrt2.7 KB
007 Running the training locally.en.srtsrt9.6 KB
006 Windows installation _ Create virtual environment.en.srtsrt2.2 KB
0pad/0107 B
005 Annotating a custom dataset.mp4mp4218.5 MB
015 Downloading the trained model and exporting the SavedModel from checkpoints.en.srtsrt9.5 KB
005 Steps to build an image segmentation model with Mask RCNN for a custom dataset.en.srtsrt2.7 KB
006 From multiple annotation files to one annotation file.en.srtsrt8.2 KB
001 Brief intro to Tensorflow 2 object detection API.en.srtsrt1.9 KB
007 Transforming our dataset to tfrecord format.en.srtsrt8.1 KB
011 Running the evaluation for Mask RCNN model during the training.en.srtsrt7.7 KB
005 Creating a google bucket and uploading data to it.en.srtsrt7.5 KB
004 Linux installation _ How to install tensorflow 2 object detection API.en.srtsrt7.4 KB
008 Exploring the training command.en.srtsrt6.8 KB
003 Linux - Exploring the dataset - Part 2.en.srtsrt6.4 KB
004 Windows - Exploring the dataset.en.srtsrt6.2 KB
005 Windows installation _ Installing miniconda.en.srtsrt2.6 KB
003 Downloading Google Cloud SDK.en.srtsrt6.1 KB
002 Creating a Google Cloud account.en.srtsrt6.0 KB
001 What is cloud computing and what is AI Platform_ (optional).en.srtsrt5.9 KB
006 Preparing our config file for training on google cloud.en.srtsrt5.7 KB
004 Exploring the configuration file.en.srtsrt5.2 KB
001 Course outline.en.srtsrt4.9 KB
001 What is image segmentation_.en.srtsrt4.8 KB
001 Choosing a dataset.en.srtsrt671 B
002 Linux - Exploring the dataset - Part 1.en.srtsrt4.7 KB
009 Running the training for Mask RCNN model.en.srtsrt4.2 KB
010 Checking the progress of the training job on google ai platform.en.srtsrt3.9 KB
030 mask_rcnn_inception_resnet_v2_1024x1024_coco17_gpu-8.configconfig3.9 KB
007 Checking connection to google cloud from within our local machine.en.srtsrt3.8 KB
003 High level overview of Faster RCNN (optional).en.srtsrt3.7 KB
003 Types of image segmentation.en.srtsrt3.6 KB
002 Downloading Mask RCNN pretrained model.en.srtsrt3.5 KB
004 High level overview of Mask RCNN.en.srtsrt1.9 KB
006 Modifying the configuration file - Part 2.en.srtsrt3.4 KB

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