This is a guided project on fine-tuning a Bidirectional Transformers for Language Understanding (BERT) model for text classification with TensorFlow. In this 2.5 hour long project, you will learn to preprocess and tokenize data for BERT classification, build TensorFlow input pipelines for text data with the tf.data API, and train and evaluate a fine-tuned BERT model for text classification with TensorFlow 2 and TensorFlow Hub.
Fine Tune BERT for Text Classification with TensorFlow
Fine Tune BERT for Text Classification with TensorFlow
Instructor: Snehan Kekre
Access provided by Willis Towers Watson
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Learn, practice, and apply job-ready skills with expert guidance
4.6
(211 reviews)
Intermediate level
Recommended experience
2.5 hours
Learn at your own pace
Hands-on learning
What you'll learn
Build TensorFlow Input Pipelines for Text Data with the tf.data API
Tokenize and Preprocess Text for BERT
Fine-tune BERT for text classification with TensorFlow 2 and TensorFlow Hub
Skills you'll practice
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction to the Project
Setup your TensorFlow and Colab Runtime
Download and Import the Quora Insincere Questions Dataset
Create tf.data.Datasets for Training and Evaluation
Download a Pre-trained BERT Model from TensorFlow Hub
Tokenize and Preprocess Text for BERT
Wrap a Python Function into a TensorFlow op for Eager Execution
Create a TensorFlow Input Pipeline with tf.data
Add a Classification Head to the BERT hub.KerasLayer
Fine-Tune and Evaluate BERT for Text Classification
Recommended experience
It is assumed that are competent in Python programming and have prior experience with building deep learning NLP models with TensorFlow or Keras
8 project images
Instructor
Instructor ratings
4.7 (19 ratings)Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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4.6
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Showing 3 of 211
YC
4
Reviewed on Jun 19, 2021
The project is very clear and easy to follow. Would suggest providing some gmail account so that we don't have to log into the colab using our own google credentials.
AT
5
Reviewed on Feb 1, 2023
it is very helpful and simply explain the idea of Bert model , really it is useful project
JH
5
Reviewed on Dec 24, 2021
I have some experience on computer vision and need to take a NLP project, this course give me a heads up on the project.
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