Machine Learning

1. Background 2. BERT: higher accuracy and less handcraft Replace manual features Replace classifier for dense feature 3. Scaling with MXNet Model Server Customization Load test 4. Recap In this article, I will give a brief introduction on how to improve intent classification using pre-trained model BERT and MXNet Model Server (MMS).

反向传播(Back Propagation, BP)是深度学习优化算法的核心，虽已有大量文章来介绍这个算法，但可惜往往都拘泥于某种具体模型，比如 Multilayer

1. 问题背景 自从 Y. Bengio 的那篇 A neural probabilistic language model 1开始，词向量一直是自然语言处理中将离散化的文字嵌入连续空间的主要方法。而随着近几年深