Large Language Models: Text Classification for NLP using BERT

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Jonathan Fernandes

1:01:18

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01 - Introduction

01 - Natural language processing with transformers.mp4

00:34

02 - How to use the exercise files.mp4

00:34

02 - 1. NLP and Transformers

01 - How transformers are used in NLP.mp4

04:22

02 - Transformers in production.mp4

01:24

03 - Transformers history.mp4

03:02

04 - Challenge BERT model sizes.mp4

03:55

05 - Solution BERT model sizes.mp4

04:51

03 - 2. BERT and Transfer Learning

01 - Bias in BERT.mp4

03:03

02 - How was BERT trained.mp4

01:55

03 - Transfer learning.mp4

04:44

04 - 3. Transformer Architecture and BERT

01 - Transformer Architecture overview.mp4

01:55

02 - BERT model and tokenization.mp4

02:16

03 - Positional encodings and segment embeddings.mp4

03:30

04 - Tokenizers.mp4

02:53

05 - Self-attention.mp4

02:16

06 - Multi-head attention and feedforward network.mp4

01:06

05 - 4. Text Classification

01 - BERT and text classification.mp4

01:47

02 - The Datasets library.mp4

03:47

03 - Overview of IMDb dataset.mp4

01:44

04 - Using a tokenizer.mp4

01:30

05 - Tiny IMDb.mp4

05:23

06 - A training run.mp4

01:57

06 - Conclusion

01 - Additional training runs.mp4

02:50

Description

Transformers are taking the natural language processing (NLP) world by storm. In this course, instructor Jonathan Fernandes teaches you all about this go-to architecture for NLP and computer vision tasks and must-have skill in your Artificial Intelligence toolkit. Jonathan uses a hands-on approach to show you the basics of working with transformers in NLP and production. He goes over BERT model sizes, bias in BERT, and how BERT was trained. Jonathan explores transfer learning, shows you how to use the BERT model and tokenization, and covers text classification. After thoroughly explaining the transformer model architecture, he finishes up with some additional training runs.

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Natural Language Processing

Jonathan Fernandes

Instructor's Courses

I am an experienced Data Scientist and Machine Learning/ Artificial Intelligence consultant that leads teams to create AI products that help meet business objectives. I have led teams to create solutions for a variety of verticals including banking, healthcare, energy, telecoms and travel and transport. Outside of work I spend time with my fabulous family, swim regularly in the sea throughout the year and am actively involved in my local church.

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.