Natural Language Processing (NLP) – We Education

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Module 0: Welcome

Welcome to Course 3 Modules

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Before You Start

Navigating the Course

Course Overview 4 Modules

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Course Overview

Meet the instructors

Appendix: References

Pre-Course Survey 1 Module

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Pre-Course Survey

Module 1: Introduction to NLP

Introduction to Deep Learning 4 Modules

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History of Deep Learning

Query Classification

Classical NLP 6 Modules

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Introduction of Classical NLP

Jupyter Notebook Session

Text Processing

Text Exploration

Building Features

Classical NLP Applications

Module 2: Neural Models for Machine Translation and Conversation Generation

Overview of Conventional Statistical Machine Translation 2 Modules

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Statistical Machine Translation

Neural Machine Translation 1 Module

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Neural Machine Translation

Neural Conversation Generation 1 Module

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Neural Conversation

Module 3: Deep Semantic Similarity Model and Its Applications

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DSSM for Information Retrieval 4 Modules

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DSSM for Information Retrieval

Semantic Matching

DSSM for Entity Ranking 1 Module

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DSSM for Entity Ranking

Module 4: Natural Language Understanding

Spoken Language Understanding 2 Modules

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Spoken Language Processing

Continuous Word Representations 8 Modules

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Continuous Word Representation

Latent Semantic Analysis

RNN for Language Modeling

Other models for word embedding

Neural Knowledge Base Embedding 3 Modules

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Knowledge Base Embedding

Different Methods for Knowledge Base Embedding

KB-based Question Answering 5 Modules

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Question Answering

DSSM in Question Answering

Models for Complicated Questions

Other QA Models

Module 5: Deep Reinforcement Learning

Deep Reinforcement Learning Background 2 Modules

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Background of Deep Reinforcement Learning

Deep Reinforcement Learning for NLP 1 Module

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Deep Reinforcement Learning for NLP

Module 6: Vision-Language Multimodal Intelligence

Image Captioning 4 Modules

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Image Captioning

MSR Image Captioning

COCO Captioning Challenge

Visual Question Answering 3 Modules

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From Captioning to Question Answering

Different Models

Wrap up and Post-Course Survey

Wrap up and Post-Course Survey 2 Modules

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Congratulations!

Post-Course Survey

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Course Includes

20 Learning Paths
62 Modules