Scaling Computer Vision
Scaling in computer vision can occur through various methods, including the use of many models, large models, or extensive training data. Training a pre-trained model can take weeks, especially when leveraging vast datasets like ImageNet, which has significantly influenced the popularity of GPUs in the field. Understanding these scaling strategies is crucial for effective model training and deployment.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Video Object Detection at Scale with Reza Zadeh - #34
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