Introduction
Welcome
General Introduction
Course Structure
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Deep Learning for Object Detection
Learn the basics of Machine Learning. Dive deep into Deep Learning for Object Detection with YOLOX. Master how to prepare data, train, evaluate, test and Deploy Object Detection Models. Understanding Key MLOps concepts. Going from beginner to solving real world problems efficiently!
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This Course Includes
Practice based lessons
More than 30 lessons amounting to more than 15 hours + of video
Access to exclusive Neuralearn community
Full Lifetime access to all courses and resources
Access on mobile and TVPrerequiscites
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Learning Path
Theoritical background
Haar Cascades and Histogram of gradients
Convolutional Neural Networks
RCNN,FastRCNN, FaterRCNN
Single Stage Algorithms
Understanding YOLO (You Only Look Once)
Understanding YOLOX
Single Stage Algorithms
Pascal VOC dataset
Preparing a custom dataset with Remo
Finetuning and Testing
Training
Wandb integration
Running inference on Onnx model
Deployment
Understanding how APIs work
Building an API with Fastapi
Deploying on Heroku
Load Testing with Locust
Learning Never Ends!!!
This Course Will Constantly be Updated
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