Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Automating Data Labeling in Machine Learning
This chapter investigates the automation of data labeling to improve machine learning models, emphasizing self-supervised and semi-supervised learning techniques. The discussion covers experiments with the ImageNet dataset and advanced methods like pseudo labeling, revealing insights into model training and behavior. Overall, it highlights the significance of consistent labeling and data augmentation in enhancing model performance.
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