Introduction to Transformer Models for NLP

Focused View

10:13:27

283 View

Introduction

001. Introduction to Transformer Models for NLP Introduction.mp4

03:08

Lesson 1 Introduction to Attention and Language Models

001. Topics.mp4

00:53

002. 1.1 A brief history of NLP.mp4

08:06

003. 1.2 Paying attention with attenti.mp4

07:58

004. 1.3 Encoder-decoder architectures.mp4

07:04

005. 1.4 How language models look at t.mp4

07:05

Lesson 2 How Transformers Use Attention to Process Text

001. Topics.mp4

01:04

002. 2.1 Introduction to transformers.mp4

02:33

003. 2.2 Scaled dot product attention.mp4

28:49

004. 2.3 Multi-headed attention.mp4

16:50

Lesson 3 Transfer Learning

001. Topics.mp4

00:32

002. 3.1 Introduction to Transfer Learning.mp4

14:40

003. 3.2 Introduction to PyTorch.mp4

10:13

004. 3.3 Fine-tuning transformers with PyTorch.mp4

06:47

Lesson 4 Natural Language Understanding with BERT

001. Topics.mp4

00:39

002. 4.1 Introduction to BERT.mp4

21:51

003. 4.2 Wordpiece tokenization.mp4

24:23

004. 4.3 The many embeddings of BERT.mp4

15:17

Lesson 5 Pre-training and Fine-tuning BERT

001. Topics.mp4

00:43

002. 5.1 The Masked Language Modeling Task.mp4

10:25

003. 5.2 The Next Sentence Prediction Task.mp4

10:40

004. 5.3 Fine-tuning BERT to solve NLP tasks.mp4

14:57

Lesson 6 Hands-on BERT

001. Topics.mp4

00:40

002. 6.1 Flavors of BERT.mp4

13:00

003. 6.2 BERT for sequence classification.mp4

38:08

004. 6.3 BERT for token classification.mp4

17:39

005. 6.4 BERT for questionanswering.mp4

21:59

Lesson 7 Natural Language Generation with GPT

001. Topics.mp4

00:51

002. 7.1 Introduction to the GPT family.mp4

18:10

003. 7.2 Masked multi-headed attention.mp4

27:41

004. 7.3 Pre-training GPT.mp4

09:02

005. 7.4 Few-shot learning.mp4

13:28

Lesson 8 Hands-on GPT

001. Topics.mp4

00:39

002. 8.1 GPT for style completion.mp4

15:57

003. 8.2 GPT for code dictation.mp4

25:18

Lesson 9 Further Applications of BERT + GPT

001. Topics.mp4

00:29

002. 9.1 Siamese BERT-networks for semantic searc.mp4

36:02

003. 9.2 Teaching GPT multiple tasks at once with.mp4

19:06

Lesson 10 T5 - Back to Basics

001. Topics.mp4

00:42

002. 10.1 Encoders and decoders welcome T5s architecture.mp4

07:29

003. 10.2 Cross-attention.mp4

05:38

Lesson 11 Hands-on T5

001. Topics.mp4

00:26

002. 11.1 Off the shelf results with T5.mp4

14:10

003. 11.2 Using T5 for abstractive summarization.mp4

15:48

Lesson 12 The Vision Transformer

001. Topics.mp4

00:37

002. 12.1 Introduction to the Vision Transformer (ViT).mp4

12:44

003. 12.2 Fine-tuning an image captioning system.mp4

29:10

Lesson 13 Deploying Transformer Models

001. Topics.mp4

00:36

002. 13.1 Introduction to MLOps.mp4

17:04

003. 13.2 Sharing our models on HuggingFace.mp4

16:35

004. 13.3 Deploying a fine-tuned BERT model using Fast.mp4

17:42

Summary

001. Introduction to Transformer Models for NLP Summary.mp4

02:00

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Natural Language Processing

LiveLessons

View courses LiveLessons

Pearson's video training library is an indispensable learning tool for today's competitive job market. Having essential technology training and certifications can open doors for career advancement and life enrichment. We take learning personally. We've published hundreds of up-to-date videos on wide variety of key topics for Professionals and IT Certification candidates. Now you can learn from renowned industry experts from anywhere in the world, without leaving home.