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How to Perform Large-Scale Image Classification

This course focuses on teaching participants how to perform large-scale image classification, specifically in the context of winning the Google Landmark Recognition 2020 Kaggle competition. The learning outcomes include understanding the challenges of landmark recognition with a vast number of classes, exploring different modeling techniques, and implementing efficient code for image classification. The course covers topics such as classical approaches, validation strategies, model architecture, fine-tuning, post-processing, ensembling, and augmentation techniques like cutout. The teaching method involves a video presentation by industry experts from NVIDIA, sharing their winning solution and insights. This course is intended for data scientists, machine learning practitioners, and individuals interested in deep learning competitions, particularly in the field of computer vision.

Syllabus

Introduction
Welcome
Competition
Classical Approach
Winning Solution
Validation Strategy
Code Efficiency
Modeling
Third Place Solution
Architecture
Finetuning
Postprocessing
Ensemble
Competitions
Cutout Augmentation
Label Submitting
Vaccine Degradation


Link: https://www.classcentral.com/course/youtube-grandmaster-series-how-to-perform-large-scale-image-classification-130184
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