Deep Learning for NLP: Transfer Learning
Natural Language Processing
| Intermediate
- 16 Videos | 2h 10m 20s
- Includes Assessment
- Earns a Badge
The essential aspect of human intelligence is our learning processes, constantly augmented with the transfer of concepts and fundamentals. For example, as a child, we learn the basic alphabet, grammar, and words, and through the transfer of these fundamentals, we can then read books and communicate with people. This is what transfer learning helps us achieve in deep learning as well. This course will help you learn the fundamentals of transfer learning for NLP, its various challenges, and use cases. Explore various transfer learning models such as ELMo and ULMFiT. Upon completing this course, you will understand the transfer learning methodology of solving NLP problems and be able to experiment with various models in TensorFlow.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursedefine transfer learning and illustrate how it helps to get better resultsoutline advantages and challenges of transfer learning in real world problem solvingillustrate the use of language modeling in Transfer learningoutline key concepts related to FastText and Word2Vecoutline key concepts related to ELMooutline key concepts realted to ULMFiTbuild a ELMo embedding layer for product reviews data classification
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create an ELMo model for product reviews data classificationperform review classification using ELMo and FastTextreshape data to adjust to ELMo embedding layer requirementsbuild a simple language model using ULMFiT on the product reviews dataimplement and fine tune the LM model using ULMFiTperform review classification using ULMFIT and FastTextillustrate model comparisonsummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 40sUP NEXT
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2.Introduction to Transfer Learning10m 12s
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3.Advantages and Challenges of Transfer Learning3m 53s
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4.Role of Language Modeling in Transfer Learning6m
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5.Introduction to Basic Transfer Learning Models5m 58s
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6.Intermediate Transfer Learning Models3m 44s
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7.Advance Transfer Learning Models3m 18s
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8.Building ELMo Embedding Layer for Reviews16m 32s
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9.Creating ELMo an Model for Product Reviews9m 4s
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10.Classifying Product Reviews Using ELMo12m 20s
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11.Reshaping Data for the ELMo Embedding Layer11m 22s
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12.Building a Language Model Using ULMFiT12m 56s
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13.Implementing the Language Model Using ULMFiT14m 55s
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14.Classifying Product Reviews Using ULMFIT & FastText15m 1s
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15.Performing Result Comparison2m 9s
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16.Course Summary1m 16s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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