Sequential Fitting: A Different Perspective on the Spectral Bias of Neural Networks
中文摘要
该研究通过“序列拟合”视角重新审视神经网络的光谱偏差，探讨了传统傅里叶分析可能忽略的机制。
English Summary
This study introduces "Sequential Fitting" to provide a new perspective on neural networks' spectral bias, addressing aspects missed by traditional Fourier analysis.
Original Excerpt
What Fourier analysis misses The post Sequential Fitting: A Different Perspective on the Spectral Bias of Neural Networks appeared first on Towards Data Science.