A2: Neural Networks & Dependency Parsing

A2: Neural Networks & Dependency Parsing

作业内容

Part 1: Written — Understanding Neural Networks

• 反向传播的数学推导
• Dropout 的正则化效果分析
• Adam 优化器的理解与比较

Part 2: Coding — Implementing a Neural Transition-Based Dependency Parser

• 实现基于转移的依存句法分析器
• Arc-standard transition system (SHIFT, LEFT-ARC, RIGHT-ARC)
• 神经网络前馈分类器
• 在 Penn Treebank 上训练与评估

相关讲座

• L03 Neural Nets, L04 RNN & LM

关联概念

• Backpropagation, Dependency Parsing
• Adam Optimizer, Dropout
• Transition-Based Parsing

完成记录

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