Using Deep Learning to Predict Wildfires with Feng Yan - #329
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Optimizing Machine Learning for Real-Time Detection
This chapter explores the intricacies of fine-tuning machine learning models, especially concerning learning rate adjustments in real-time detection systems. It addresses the challenges of latency, scalability, and cost-effectiveness in deploying deep learning models, while emphasizing the importance of efficiency in managing computing and energy costs.
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