📚 CMU Researchers Discover Key Insights into Neural Network Behavior: The Interplay of Heavy-Tailed Data and Network Depth in Shaping Optimization Dynamics
💡 Newskategorie: AI Nachrichten
🔗 Quelle: marktechpost.com
There is a steadily growing list of intriguing properties of neural network (NN) optimization that are not readily explained by classical tools from optimization. Likewise, the research team has varying degrees of understanding of the mechanical causes for each. Extensive efforts have led to possible explanations for the effectiveness of Adam, Batch Normalization, and other […]
The post CMU Researchers Discover Key Insights into Neural Network Behavior: The Interplay of Heavy-Tailed Data and Network Depth in Shaping Optimization Dynamics appeared first on MarkTechPost.
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