Description
In this course, you will learn
- WEEK 1: Introduction, terminologies, empirical rules
- WEEK 2: Word to Vectors
- WEEK 3: Probability and Language Model
- WEEK 4: Neural Networks for NLP
- WEEK 5: Distributed word vectors (word embeddings)
- WEEK 6: Recurrent Neural Network, Language Model
- WEEK 7: Statistical Machine Translation
- WEEK 8: Statistical Machine Translation, Neural Machine Translation
- WEEK 9: Neural Machine Translation
- WEEK 10: Conversation Modeling, Chat-bots, dialog agents, Question Processing
- WEEK 11: Information Retrieval tasks using Neural Networks- Learn to Rank, Understanding Phrases, analogies
- WEEK 12: Spelling Correction using traditional and Neural networks, end notes