Modern Computer Vision & Deep Learning with Python & PyTorch
https://DevCourseWeb.com
Published 7/2023 Created by Mazhar Hussain MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 71 Lectures ( 7h 6m ) | Size: 3.57 GB
Computer Vision with Python using Deep Learning for Classification, Instance & Semantic Segmentation, & Object Detection
What you'll learn Learn Computer Vision and Deep Learning with Real-world Applications in Python Learn Deep Convolutional Neural Networks (CNN) for Computer Vision Computer Vision for Single and Multi-label Classification with Python and Pytorch Computer Vision for Image Semantic Segmentation with Python and Pytorch Computer Vision for Image Instance Segmentation with Python and Pytorch Computer Vision for Object Detection with Python and Pytorch Google Colab with GPU for Writing Python and Pytorch Code Learn Data Augmentation with Different Image Transformations Custom Datasets for Image Classification, Image Segmentation and Object Detection Hyperparameters Optimization of Deep Learning Models to Improve Performance Learn Performance Metrics (Accuracy, IOU, Precision, Recall, Fscore) Transfer Learning with Pretrained Models of Deep Learning in Pytorch Train Image Segmentation, Classification and Object Detection Models on Custom Datasets Evaluate and Deploy Image Segmentation, Image Classification and Object Detection Models Object Detection using Detectron2 Models Introduced by Facebook Artificial Intelligence Research (FAIR) Group Perform Object Detection using RCNN, Fast RCNN, Faster RCNN Models with Python and Pytorch Perform Semantic Segmentation with UNet, PSPNet, DeepLab, PAN, and UNet++ Models with Pytoch and Python Perform Instance Segmentation using Mask RCNN on Custom Dataset with Pytorch and Python Perform Image Single and Multi-label Classification using Deep Learning Models (ResNet, AlexNet) with Pytorch and Python Visualization of Results, Datasets, and Complete Python/Pytorch Code is Provided for Classification, Segmentation, and Object Detection
Requirements Computer Vision and Deep Learning with Python and Pytorch is taught in this course by following a complete pipeline from Zero to Mastery No prior knowledge of Computer Vision and Deep Learning is assumed. Everything will be covered with hands-on trainings A Google Gmail account is required to get started with Google Colab to write Python and PytorchCode
~Get Your Files Here !/1. Introduction/1. Introduction to Course.mp4
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~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/1. Datasets for Semantic Segmentation.mp4
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~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/2. Data Annotations Tool for Semantic Segmentation.mp4
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~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/3. Data Loading with PyTorch Customized Dataset Class.mp4
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~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/4. Data Loading for Segmentation with Python and PyTorch Code.html
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~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/5. Data Augmentation using Albumentations with Different Transformations.mp4
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~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/6. Augmentation Python Code.html
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~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/7. Learn To Implement Data Loaders In Pytorch.mp4
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~Get Your Files Here !/11. Performance Metrics (IOU) For Segmentation Models Evaluation/1. Performance Metrics (IOU, Pixel Accuracy, Precision, Recall, Fscore).mp4
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~Get Your Files Here !/11. Performance Metrics (IOU) For Segmentation Models Evaluation/2. Code (Python and PyTorch).html
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~Get Your Files Here !/12. Encoders and Decoders For Segmentation In PyTorch/1. Transfer Learning And Pretrained Deep Resnet Architecture.mp4
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~Get Your Files Here !/12. Encoders and Decoders For Segmentation In PyTorch/2. Encoders for Segmentation with PyTorch Liberary.mp4
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~Get Your Files Here !/12. Encoders and Decoders For Segmentation In PyTorch/3. Decoders for Segmentation in PyTorch Liberary.mp4
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~Get Your Files Here !/13. Implementation, Optimization and Training Of Segmentation Models/1. Implement Segmentation Models (UNet, PSPNet, DeepLab, PAN, and UNet++).mp4
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~Get Your Files Here !/13. Implementation, Optimization and Training Of Segmentation Models/2. Segmentation Models Code with Python.html
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~Get Your Files Here !/13. Implementation, Optimization and Training Of Segmentation Models/3. Learn To Optimize Hyperparameters For Segmentation Models.mp4
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~Get Your Files Here !/14. Test Models and Visualize Segmentation Results/1. Test Models and Calculate IOU,Pixel Accuracy,Fscore.mp4
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~Get Your Files Here !/14. Test Models and Visualize Segmentation Results/3. Visualize Segmentation Results and Generate RGB Segmented Map.mp4
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~Get Your Files Here !/15. Complete Code and Dataset for Semantic Segmentation/1. Final Code Review.mp4
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