Learn to debug neural networks for natural language processing in this comprehensive lecture from CMU's Neural Networks for NLP course. Explore techniques for identifying and resolving issues in both training and testing phases. Discover how to assess model capacity, handle initialization challenges, optimize minibatching, and improve decoding processes. Gain insights into effective data analysis, quantitative evaluation methods, and strategies to prevent overfitting. Master the art of fine-tuning neural networks to achieve optimal performance in NLP tasks.