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001 Brief intro to Tensorflow 2 object detection API.en.srt |
1.88Кб |
001 Brief intro to Tensorflow 2 object detection API.mp4 |
7.87Мб |
001 Choosing a dataset.en.srt |
671б |
001 Choosing a dataset.mp4 |
5.52Мб |
001 Conclusion and next steps for you.en.srt |
1.93Кб |
001 Conclusion and next steps for you.mp4 |
9.13Мб |
001 Course outline.en.srt |
4.93Кб |
001 Course outline.mp4 |
22.87Мб |
001 Quick introduction to Mask RCNN.en.srt |
2.38Кб |
001 Quick introduction to Mask RCNN.mp4 |
12.32Мб |
001 Training on premise VS training on the cloud.en.srt |
1.79Кб |
001 Training on premise VS training on the cloud.mp4 |
5.15Мб |
001 What is cloud computing and what is AI Platform_ (optional).en.srt |
5.89Кб |
001 What is cloud computing and what is AI Platform_ (optional).mp4 |
115.93Мб |
001 What is image segmentation_.en.srt |
4.78Кб |
001 What is image segmentation_.mp4 |
22.23Мб |
002 Code for this course.en.srt |
978б |
002 Code for this course.mp4 |
6.04Мб |
002 Creating a Google Cloud account.en.srt |
6.03Кб |
002 Creating a Google Cloud account.mp4 |
36.26Мб |
002 Downloading Mask RCNN pretrained model.en.srt |
3.47Кб |
002 Downloading Mask RCNN pretrained model.mp4 |
24.17Мб |
002 Linux - Exploring the dataset - Part 1.en.srt |
4.66Кб |
002 Linux - Exploring the dataset - Part 1.mp4 |
38.69Мб |
002 Linux installation _ How to install tensorflow 2 with GPU support (part 1).en.srt |
10.58Кб |
002 Linux installation _ How to install tensorflow 2 with GPU support (part 1).mp4 |
83.73Мб |
002 Mask RCNN as an extension of Faster RCNN.en.srt |
2.67Кб |
002 Mask RCNN as an extension of Faster RCNN.mp4 |
12.92Мб |
002 Why deep learning for image segmentation_.en.srt |
1.15Кб |
002 Why deep learning for image segmentation_.mp4 |
6.05Мб |
003 Downloading Google Cloud SDK.en.srt |
6.08Кб |
003 Downloading Google Cloud SDK.mp4 |
50.64Мб |
003 Finding the right configuration file.en.srt |
1.73Кб |
003 Finding the right configuration file.mp4 |
13.24Мб |
003 High level overview of Faster RCNN (optional).en.srt |
3.69Кб |
003 High level overview of Faster RCNN (optional).mp4 |
11.90Мб |
003 Linux - Exploring the dataset - Part 2.en.srt |
6.44Кб |
003 Linux - Exploring the dataset - Part 2.mp4 |
44.28Мб |
003 Linux installation _ How to install tensorflow 2 with GPU support (part 2).en.srt |
13.16Кб |
003 Linux installation _ How to install tensorflow 2 with GPU support (part 2).mp4 |
102.68Мб |
003 Types of image segmentation.en.srt |
3.62Кб |
003 Types of image segmentation.mp4 |
16.34Мб |
004 Exploring the configuration file.en.srt |
5.21Кб |
004 Exploring the configuration file.mp4 |
29.84Мб |
004 High level overview of Mask RCNN.en.srt |
1.93Кб |
004 High level overview of Mask RCNN.mp4 |
8.10Мб |
004 Linux installation _ How to install tensorflow 2 object detection API.en.srt |
7.43Кб |
004 Linux installation _ How to install tensorflow 2 object detection API.mp4 |
54.44Мб |
004 Setting up a new project on google cloud platform.en.srt |
3.08Кб |
004 Setting up a new project on google cloud platform.mp4 |
18.40Мб |
004 Windows - Exploring the dataset.en.srt |
6.24Кб |
004 Windows - Exploring the dataset.mp4 |
39.18Мб |
005 Annotating a custom dataset.en.srt |
19.00Кб |
005 Annotating a custom dataset.mp4 |
218.51Мб |
005 Creating a google bucket and uploading data to it.en.srt |
7.48Кб |
005 Creating a google bucket and uploading data to it.mp4 |
40.87Мб |
005 Modifying the configuration file - Part 1.en.srt |
14.47Кб |
005 Modifying the configuration file - Part 1.mp4 |
84.81Мб |
005 Steps to build an image segmentation model with Mask RCNN for a custom dataset.en.srt |
2.67Кб |
005 Steps to build an image segmentation model with Mask RCNN for a custom dataset.mp4 |
14.28Мб |
005 Windows installation _ Installing miniconda.en.srt |
2.59Кб |
005 Windows installation _ Installing miniconda.mp4 |
14.98Мб |
006 From multiple annotation files to one annotation file.en.srt |
8.16Кб |
006 From multiple annotation files to one annotation file.mp4 |
55.64Мб |
006 Modifying the configuration file - Part 2.en.srt |
3.36Кб |
006 Modifying the configuration file - Part 2.mp4 |
21.55Мб |
006 Preparing our config file for training on google cloud.en.srt |
5.71Кб |
006 Preparing our config file for training on google cloud.mp4 |
50.69Мб |
006 Windows installation _ Create virtual environment.en.srt |
2.23Кб |
006 Windows installation _ Create virtual environment.mp4 |
11.36Мб |
007 Checking connection to google cloud from within our local machine.en.srt |
3.79Кб |
007 Checking connection to google cloud from within our local machine.mp4 |
20.99Мб |
007 Running the training locally.en.srt |
9.63Кб |
007 Running the training locally.mp4 |
58.94Мб |
007 Transforming our dataset to tfrecord format.en.srt |
8.08Кб |
007 Transforming our dataset to tfrecord format.mp4 |
56.02Мб |
007 Windows installation _ Installing tensorflow 2 object detection API.en.srt |
15.64Кб |
007 Windows installation _ Installing tensorflow 2 object detection API.mp4 |
107.34Мб |
008 Exploring the training command.en.srt |
6.81Кб |
008 Exploring the training command.mp4 |
36.86Мб |
008 Windows installation _ Installing tensorflow with GPU support.en.srt |
25.31Кб |
008 Windows installation _ Installing tensorflow with GPU support.mp4 |
205.30Мб |
009 Running the training for Mask RCNN model.en.srt |
4.24Кб |
009 Running the training for Mask RCNN model.mp4 |
27.95Мб |
010 Checking the progress of the training job on google ai platform.en.srt |
3.95Кб |
010 Checking the progress of the training job on google ai platform.mp4 |
28.88Мб |
011 Running the evaluation for Mask RCNN model during the training.en.srt |
7.69Кб |
011 Running the evaluation for Mask RCNN model during the training.mp4 |
46.42Мб |
012 Analyzing the results after the training of Mask RCNN model is finished.en.srt |
9.80Кб |
012 Analyzing the results after the training of Mask RCNN model is finished.mp4 |
87.39Мб |
013 Analyzing the results of the second training.en.srt |
10.01Кб |
013 Analyzing the results of the second training.mp4 |
83.88Мб |
014 Further explanation of when to run your evaluation jobs.en.srt |
2.58Кб |
014 Further explanation of when to run your evaluation jobs.mp4 |
14.80Мб |
015 Downloading the trained model and exporting the SavedModel from checkpoints.en.srt |
9.55Кб |
015 Downloading the trained model and exporting the SavedModel from checkpoints.mp4 |
73.87Мб |
016 Running the exported model on new examples locally.en.srt |
25.97Кб |
016 Running the exported model on new examples locally.mp4 |
227.34Мб |
019 damaged_cars_dataset.zip |
14.42Мб |
030 mask_rcnn_inception_resnet_v2_1024x1024_coco17_gpu-8.config |
3.91Кб |
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external-assets-links.txt |
94б |
external-assets-links.txt |
217б |
external-assets-links.txt |
292б |
external-assets-links.txt |
192б |
TutsNode.com.txt |
63б |