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Deep learning for image segmentation using Tensorflow 2
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[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2 (Size: 2.36 GB) (Files: 155)
[TutsNode.com] - Deep learning for image segmentation using Tensorflow 2
07 Train and evaluate Mask RCNN model using google AI platform
016 Running the exported model on new examples locally.mp4
016 Running the exported model on new examples locally.en.srt
013 Analyzing the results of the second training.en.srt
012 Analyzing the results after the training of Mask RCNN model is finished.en.srt
015 Downloading the trained model and exporting the SavedModel from checkpoints.en.srt
011 Running the evaluation for Mask RCNN model during the training.en.srt
005 Creating a google bucket and uploading data to it.en.srt
008 Exploring the training command.en.srt
003 Downloading Google Cloud SDK.en.srt
002 Creating a Google Cloud account.en.srt
001 What is cloud computing and what is AI Platform_ (optional).en.srt
006 Preparing our config file for training on google cloud.en.srt
009 Running the training for Mask RCNN model.en.srt
010 Checking the progress of the training job on google ai platform.en.srt
007 Checking connection to google cloud from within our local machine.en.srt
004 Setting up a new project on google cloud platform.en.srt
014 Further explanation of when to run your evaluation jobs.en.srt
external-assets-links.txt
001 What is cloud computing and what is AI Platform_ (optional).mp4
012 Analyzing the results after the training of Mask RCNN model is finished.mp4
013 Analyzing the results of the second training.mp4
015 Downloading the trained model and exporting the SavedModel from checkpoints.mp4
006 Preparing our config file for training on google cloud.mp4
003 Downloading Google Cloud SDK.mp4
011 Running the evaluation for Mask RCNN model during the training.mp4
005 Creating a google bucket and uploading data to it.mp4
008 Exploring the training command.mp4
002 Creating a Google Cloud account.mp4
010 Checking the progress of the training job on google ai platform.mp4
009 Running the training for Mask RCNN model.mp4
007 Checking connection to google cloud from within our local machine.mp4
004 Setting up a new project on google cloud platform.mp4
014 Further explanation of when to run your evaluation jobs.mp4
04 Software setup
008 Windows installation _ Installing tensorflow with GPU support.en.srt
007 Windows installation _ Installing tensorflow 2 object detection API.en.srt
003 Linux installation _ How to install tensorflow 2 with GPU support (part 2).en.srt
002 Linux installation _ How to install tensorflow 2 with GPU support (part 1).en.srt
006 Windows installation _ Create virtual environment.en.srt
001 Brief intro to Tensorflow 2 object detection API.en.srt
004 Linux installation _ How to install tensorflow 2 object detection API.en.srt
005 Windows installation _ Installing miniconda.en.srt
008 Windows installation _ Installing tensorflow with GPU support.mp4
007 Windows installation _ Installing tensorflow 2 object detection API.mp4
003 Linux installation _ How to install tensorflow 2 with GPU support (part 2).mp4
002 Linux installation _ How to install tensorflow 2 with GPU support (part 1).mp4
004 Linux installation _ How to install tensorflow 2 object detection API.mp4
005 Windows installation _ Installing miniconda.mp4
006 Windows installation _ Create virtual environment.mp4
001 Brief intro to Tensorflow 2 object detection API.mp4
01 Introduction and course content
002 Code for this course.en.srt
001 Course outline.en.srt
001 Course outline.mp4
002 Code for this course.mp4
05 Custom data preparation
005 Annotating a custom dataset.en.srt
005 Annotating a custom dataset.mp4
006 From multiple annotation files to one annotation file.en.srt
007 Transforming our dataset to tfrecord format.en.srt
003 Linux - Exploring the dataset - Part 2.en.srt
004 Windows - Exploring the dataset.en.srt
001 Choosing a dataset.en.srt
002 Linux - Exploring the dataset - Part 1.en.srt
external-assets-links.txt
007 Transforming our dataset to tfrecord format.mp4
006 From multiple annotation files to one annotation file.mp4
003 Linux - Exploring the dataset - Part 2.mp4
004 Windows - Exploring the dataset.mp4
002 Linux - Exploring the dataset - Part 1.mp4
019 damaged_cars_dataset.zip
001 Choosing a dataset.mp4
06 Train Mask RCNN model on your local machine
005 Modifying the configuration file - Part 1.en.srt
007 Running the training locally.en.srt
004 Exploring the configuration file.en.srt
030 mask_rcnn_inception_resnet_v2_1024x1024_coco17_gpu-8.config
002 Downloading Mask RCNN pretrained model.en.srt
006 Modifying the configuration file - Part 2.en.srt
001 Training on premise VS training on the cloud.en.srt
003 Finding the right configuration file.en.srt
external-assets-links.txt
005 Modifying the configuration file - Part 1.mp4
007 Running the training locally.mp4
004 Exploring the configuration file.mp4
002 Downloading Mask RCNN pretrained model.mp4
006 Modifying the configuration file - Part 2.mp4
003 Finding the right configuration file.mp4
001 Training on premise VS training on the cloud.mp4
02 Image segmentation in computer vision
002 Why deep learning for image segmentation_.en.srt
external-assets-links.txt
001 What is image segmentation_.en.srt
003 Types of image segmentation.en.srt
001 What is image segmentation_.mp4
003 Types of image segmentation.mp4
002 Why deep learning for image segmentation_.mp4
03 Instance segmentation using Mask RCNN
001 Quick introduction to Mask RCNN.en.srt
002 Mask RCNN as an extension of Faster RCNN.en.srt
005 Steps to build an image segmentation model with Mask RCNN for a custom dataset.en.srt
003 High level overview of Faster RCNN (optional).en.srt
004 High level overview of Mask RCNN.en.srt
005 Steps to build an image segmentation model with Mask RCNN for a custom dataset.mp4
002 Mask RCNN as an extension of Faster RCNN.mp4
001 Quick introduction to Mask RCNN.mp4
003 High level overview of Faster RCNN (optional).mp4
004 High level overview of Mask RCNN.mp4
08 Conclusion
001 Conclusion and next steps for you.en.srt
001 Conclusion and next steps for you.mp4
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