Neural Nets for NLP 2021 - Language Modeling, Efficiency/Training Tricks

Neural Nets for NLP 2021 - Language Modeling, Efficiency/Training Tricks

Explore a comprehensive lecture on language modeling and neural network training techniques for natural language processing. Delve into feed-forward neural network language models, overfitting prevention methods, mini-batching, automatic optimization techniques, and various optimizers. Learn how to measure language model performance using accuracy, likelihood, and perplexity metrics. Gain insights into efficient training tricks, regularization techniques, and LSTM language model optimization. Enhance your understanding of neural networks for NLP through in-depth explanations and practical examples provided by Graham Neubig in this CMU CS 11-747 course lecture.