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1
Introduction
2
DJs journey in data science
3
Deep learning for NLP
4
Challenges
5
Suggestions
6
Deployment of transformer models
7
Most popular transformer models
8
How and when to use transfer learning
9
Best open source tools for transfer learning
10
Recent NLP transfer learning advances
11
Multilanguage models
12
Model explainability interpretation
13
Getting started with NLP
14
Whats next
15
AI Plus Careers
Description:
Explore advancements in deep learning and transfer learning for Natural Language Processing (NLP) in this 49-minute lightning interview with Dipanjan (DJ) Sarkar, Lead Data Scientist and Google Developer Expert in Machine Learning. Gain insights into DJ's journey in data science, challenges in deep learning for NLP, and practical suggestions for deploying transformer models. Learn about popular transformer models, when to use transfer learning, and the best open-source tools available. Discover recent advances in multilanguage models, model explainability, and interpretation. Get tips on starting your NLP journey and explore the future of AI and its impact on careers. This interview covers a wide range of topics, from technical aspects of NLP to career advice in the field of artificial intelligence.

Deep Learning and Transfer Learning for NLP

Open Data Science
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