没有免费午餐定理
权重衰减 weight decay and dropout
只有通过增加或减少学习算法可选假设空间的函数来增加或减少模型的容量。一是允许使用的函数种类，二是这些函数的数量。
chevron_rightRegularization
chevron_rightNerual Networks
chevron_rightDeep Learning
Deep Learning - Regularization
Google EarthReferences
- [1] Marko Jerkic Blog https://markojerkic.com
Similar Posts
- TensorFlow 2 - Serving with Docker One of the easiest ways to get started using TensorFlow Serving is with Docker.
- TensorFlow 2 - quickstart for beginners Start our journey with TensorFlow
- TensorFlow - Time Series Forecasting with Convolutional Neural Networks Time Series Forecasting with Convolutional Neural Networks
- TensorFlow - TensorBoard TensorBoard for Nerual Networks
- Deep Learning - Backpropagation Backpropagation for Deep Learning
- TensorFlow - Working with Text and Sequences Working with Text and Sequences using Recurrent Neural Networks with TensorFlow
Comments