deep learning :the effect of pooling
链接：https://www.zhihu.com/question/36686900/answer/130890492 来源：知乎 主要是两个作用： 1. invariance(不变性)，这种不变性包括translation(平移)，rotation(旋转)，scale(尺度) 2. 保留主要的特征同时减少参数(降维，效果类似PCA)和计算量，防止过拟合，提高模型泛化能力 (1) translat
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相关文章
- 1. Review of Semantic Segmentation with Deep Learning
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- 4. [paper]The Limitations of Deep Learning in Adversarial Settings(JSMA）
- 5. Exploring the teaching of deep learning in neural networks
- 6. The Limitations of Deep Learning in Adversarial Settings
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- 8. Inspirational Applications of Deep Learning
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- 10. Securing the Deep Learning Stack