Can you actually measure how "simple" a neural network is, and use that to predict how well it will perform on new data? Researchers from Tsinghua University are tackling this head-on. They've created a new method that uses polynomial math to shrink a complex neural network
Polynomial Method Measures Neural Network Simplicity to Study Generalization
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