How Deep Learning has Revolutionized OCR with Cha Zhang - #416
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Navigating OCR: Challenges and Innovations
This chapter explores the complexities and advancements in optical character recognition (OCR) technology, detailing real-world applications such as document scanning and text translation. It highlights the technical hurdles in text localization and the evolution of training methods within deep learning, including the shift towards semi-supervised approaches and the use of transfer learning. The conversation also emphasizes the importance of privacy considerations in data collection and the need for optimized architectures to enhance OCR system performance.
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