Torrent Info
Title Deep learning for image segmentation using Tensorflow 2
Category
Size 2.36GB

Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
[TGx]Downloaded from torrentgalaxy.to .txt 585B
0 107B
001 Brief intro to Tensorflow 2 object detection API.en.srt 1.88KB
001 Brief intro to Tensorflow 2 object detection API.mp4 7.87MB
001 Choosing a dataset.en.srt 671B
001 Choosing a dataset.mp4 5.52MB
001 Conclusion and next steps for you.en.srt 1.93KB
001 Conclusion and next steps for you.mp4 9.13MB
001 Course outline.en.srt 4.93KB
001 Course outline.mp4 22.87MB
001 Quick introduction to Mask RCNN.en.srt 2.38KB
001 Quick introduction to Mask RCNN.mp4 12.32MB
001 Training on premise VS training on the cloud.en.srt 1.79KB
001 Training on premise VS training on the cloud.mp4 5.15MB
001 What is cloud computing and what is AI Platform_ (optional).en.srt 5.89KB
001 What is cloud computing and what is AI Platform_ (optional).mp4 115.93MB
001 What is image segmentation_.en.srt 4.78KB
001 What is image segmentation_.mp4 22.23MB
002 Code for this course.en.srt 978B
002 Code for this course.mp4 6.04MB
002 Creating a Google Cloud account.en.srt 6.03KB
002 Creating a Google Cloud account.mp4 36.26MB
002 Downloading Mask RCNN pretrained model.en.srt 3.47KB
002 Downloading Mask RCNN pretrained model.mp4 24.17MB
002 Linux - Exploring the dataset - Part 1.en.srt 4.66KB
002 Linux - Exploring the dataset - Part 1.mp4 38.69MB
002 Linux installation _ How to install tensorflow 2 with GPU support (part 1).en.srt 10.58KB
002 Linux installation _ How to install tensorflow 2 with GPU support (part 1).mp4 83.73MB
002 Mask RCNN as an extension of Faster RCNN.en.srt 2.67KB
002 Mask RCNN as an extension of Faster RCNN.mp4 12.92MB
002 Why deep learning for image segmentation_.en.srt 1.15KB
002 Why deep learning for image segmentation_.mp4 6.05MB
003 Downloading Google Cloud SDK.en.srt 6.08KB
003 Downloading Google Cloud SDK.mp4 50.64MB
003 Finding the right configuration file.en.srt 1.73KB
003 Finding the right configuration file.mp4 13.24MB
003 High level overview of Faster RCNN (optional).en.srt 3.69KB
003 High level overview of Faster RCNN (optional).mp4 11.90MB
003 Linux - Exploring the dataset - Part 2.en.srt 6.44KB
003 Linux - Exploring the dataset - Part 2.mp4 44.28MB
003 Linux installation _ How to install tensorflow 2 with GPU support (part 2).en.srt 13.16KB
003 Linux installation _ How to install tensorflow 2 with GPU support (part 2).mp4 102.68MB
003 Types of image segmentation.en.srt 3.62KB
003 Types of image segmentation.mp4 16.34MB
004 Exploring the configuration file.en.srt 5.21KB
004 Exploring the configuration file.mp4 29.84MB
004 High level overview of Mask RCNN.en.srt 1.93KB
004 High level overview of Mask RCNN.mp4 8.10MB
004 Linux installation _ How to install tensorflow 2 object detection API.en.srt 7.43KB
004 Linux installation _ How to install tensorflow 2 object detection API.mp4 54.44MB
004 Setting up a new project on google cloud platform.en.srt 3.08KB
004 Setting up a new project on google cloud platform.mp4 18.40MB
004 Windows - Exploring the dataset.en.srt 6.24KB
004 Windows - Exploring the dataset.mp4 39.18MB
005 Annotating a custom dataset.en.srt 19.00KB
005 Annotating a custom dataset.mp4 218.51MB
005 Creating a google bucket and uploading data to it.en.srt 7.48KB
005 Creating a google bucket and uploading data to it.mp4 40.87MB
005 Modifying the configuration file - Part 1.en.srt 14.47KB
005 Modifying the configuration file - Part 1.mp4 84.81MB
005 Steps to build an image segmentation model with Mask RCNN for a custom dataset.en.srt 2.67KB
005 Steps to build an image segmentation model with Mask RCNN for a custom dataset.mp4 14.28MB
005 Windows installation _ Installing miniconda.en.srt 2.59KB
005 Windows installation _ Installing miniconda.mp4 14.98MB
006 From multiple annotation files to one annotation file.en.srt 8.16KB
006 From multiple annotation files to one annotation file.mp4 55.64MB
006 Modifying the configuration file - Part 2.en.srt 3.36KB
006 Modifying the configuration file - Part 2.mp4 21.55MB
006 Preparing our config file for training on google cloud.en.srt 5.71KB
006 Preparing our config file for training on google cloud.mp4 50.69MB
006 Windows installation _ Create virtual environment.en.srt 2.23KB
006 Windows installation _ Create virtual environment.mp4 11.36MB
007 Checking connection to google cloud from within our local machine.en.srt 3.79KB
007 Checking connection to google cloud from within our local machine.mp4 20.99MB
007 Running the training locally.en.srt 9.63KB
007 Running the training locally.mp4 58.94MB
007 Transforming our dataset to tfrecord format.en.srt 8.08KB
007 Transforming our dataset to tfrecord format.mp4 56.02MB
007 Windows installation _ Installing tensorflow 2 object detection API.en.srt 15.64KB
007 Windows installation _ Installing tensorflow 2 object detection API.mp4 107.34MB
008 Exploring the training command.en.srt 6.81KB
008 Exploring the training command.mp4 36.86MB
008 Windows installation _ Installing tensorflow with GPU support.en.srt 25.31KB
008 Windows installation _ Installing tensorflow with GPU support.mp4 205.30MB
009 Running the training for Mask RCNN model.en.srt 4.24KB
009 Running the training for Mask RCNN model.mp4 27.95MB
010 Checking the progress of the training job on google ai platform.en.srt 3.95KB
010 Checking the progress of the training job on google ai platform.mp4 28.88MB
011 Running the evaluation for Mask RCNN model during the training.en.srt 7.69KB
011 Running the evaluation for Mask RCNN model during the training.mp4 46.42MB
012 Analyzing the results after the training of Mask RCNN model is finished.en.srt 9.80KB
012 Analyzing the results after the training of Mask RCNN model is finished.mp4 87.39MB
013 Analyzing the results of the second training.en.srt 10.01KB
013 Analyzing the results of the second training.mp4 83.88MB
014 Further explanation of when to run your evaluation jobs.en.srt 2.58KB
014 Further explanation of when to run your evaluation jobs.mp4 14.80MB
015 Downloading the trained model and exporting the SavedModel from checkpoints.en.srt 9.55KB
015 Downloading the trained model and exporting the SavedModel from checkpoints.mp4 73.87MB
016 Running the exported model on new examples locally.en.srt 25.97KB
016 Running the exported model on new examples locally.mp4 227.34MB
019 damaged_cars_dataset.zip 14.42MB
030 mask_rcnn_inception_resnet_v2_1024x1024_coco17_gpu-8.config 3.91KB
1 339.08KB
10 129.58KB
11 60.12KB
12 492.74KB
13 372.94KB
14 64.62KB
15 317.10KB
16 364.80KB
17 78.01KB
18 222.29KB
19 137.78KB
2 200.88KB
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22 139.42KB
23 246.75KB
24 164.83KB
25 121.40KB
26 53.48KB
27 333.62KB
28 138.14KB
29 275.42KB
3 67.41KB
30 462.30KB
31 9.35KB
32 104.71KB
33 166.23KB
34 19.87KB
35 204.20KB
36 82.14KB
37 225.94KB
38 262.50KB
39 79.91KB
4 163.99KB
40 184.49KB
41 98.78KB
42 143.06KB
43 376.33KB
44 406.78KB
45 135.82KB
46 465.16KB
47 468.25KB
48 492.35KB
5 324.28KB
6 112.71KB
7 193.45KB
8 123.56KB
9 271.88KB
external-assets-links.txt 94B
external-assets-links.txt 217B
external-assets-links.txt 292B
external-assets-links.txt 192B
TutsNode.com.txt 63B
Distribution statistics by country
Morocco (MA) 1
Tanzania (TZ) 1
Rwanda (RW) 1
Cambodia (KH) 1
Total 4
IP List List of IP addresses which were distributed this torrent