Published 7/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.57 GB | Duration: 7h 6m
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
