Decision Boundaries for Deep Learning and other Machine Learning classifiers H2O, one of the leading deep learning framework in python, is now available in R. We will show how to get started with H2O, its working, plotting of decision boundaries and…
一.Training of a Single-Layer Neural Network 1 Delta Rule Consider a single-layer neural network, as shown in Figure 2-11. In the figure, d i is the correct output of the output node i. Long story short, the delta rule adjusts the weight as the follow…
Why ML stategy 怎么提高预测准确度?有了stategy就知道从哪些地方入手,而不至于找错方向做无用功. Satisficing and Optimizing metric 上图中,running time <= 100ms 就是satisficing,accuracy 就是 optimazing. Dev set and test set should be from same distribution. 传统的traing set/ dev set / test set 比例是6…
1. active learning Active learning 是一种特殊形式的半监督机器学习方法,该方法允许交互式地询问用户(或者其他形式的信息源 information source)以获取对新的数据样本的理想输出. Active learning 提供的这种交互机制尤其适用于 unlabeled data 有很多,且手工标注的代价十分高昂的场合.显然这种交互式地向用户询问以获取label,使得原始非监督问题变成了一种迭代式的监督学习(iterative supervised lear…
Machine Learning Crash Course | Google Developers https://developers.google.com/machine-learning/crash-course/ Google's fast-paced, practical introduction to machine learning ML Concepts Introduction to Machine Learning As you'll discover, machine…
Machine Learning for Developers Most developers these days have heard of machine learning, but when trying to find an 'easy' way into this technique, most people find themselves getting scared off by the abstractness of the concept of Machine Learnin…
