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YOLOv9: Computer vision is alive and well
Practical AI: Machine Learning, Data Science, LLM
Addressing Information Bottleneck in Deep Neural Networks
Deep learning models face challenges with the information bottleneck principle as data passes through the network layers, potentially losing crucial information in the process. This can be mitigated by using larger networks and more data to prevent the loss of relevant information during classification. The issue becomes more critical in lightweight networks like YOLO, which have fewer layers and hence are more susceptible to information loss. YOLO documentation also discusses the use of reversible functions to tackle this problem.
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