Deep Learning and Transfer Learning for NLP

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.

Introduction
DJs journey in data science
Deep learning for NLP
Challenges
Suggestions
Deployment of transformer models
Most popular transformer models
How and when to use transfer learning
Best open source tools for transfer learning
Recent NLP transfer learning advances
Multilanguage models
Model explainability interpretation
Getting started with NLP
Whats next
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