What will i learn?
Curriculum for this course
6 Lessons
00:31:12 Hours
Introduction
2 Lessons
00:04:24 Hours
- Let us Meet Your Instructors 00:01:30
- Welcome to Natural Language Processing 00:02:54
Introduction to NLP
3 Lessons
00:22:26 Hours
- Forms of DNN 00:05:11
- A History of Deep Learning 00:08:04
- Query Classification 00:09:11
NLP and Text Processing
1 Lessons
00:04:22 Hours
- Introduction to Jupyter Notebooks 00:04:22
Neural Models for Machine Translation and Conversation Generation
0 Lessons
00:00:00 Hours
Deep Semantic Similarity Model and its Applications
0 Lessons
00:00:00 Hours
Deep Semantic Similarity Model for Information Retrieval
0 Lessons
00:00:00 Hours
Deep Semantic Similarity Model for Entity Ranking
0 Lessons
00:00:00 Hours
Deep Reinforcement Learning
0 Lessons
00:00:00 Hours
Vision-Language Multimodal Intelligence
0 Lessons
00:00:00 Hours
Natural Language Understanding
0 Lessons
00:00:00 Hours
Continuous Word Representation
0 Lessons
00:00:00 Hours
Neural Knowledge Base Embedding
0 Lessons
00:00:00 Hours
Knowledge-Based Question Answering
0 Lessons
00:00:00 Hours
Requirements
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Description
During the course, you
will learn how NLP is one of the most important technologies of the Information
Age. You’ll gain a deeper understanding of this aspect of AI by delving into
its sub areas including natural language understanding, machine translation,
semantics, and syntactic passing as well as natural language emulation and
dialectal systems.
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Other related courses
00:00:00 Hours
Updated Mon, 28-Jun-2021
3
₦5,000
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