Transfer Learning from Large Language Models
March 21, 2024
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Instructor: Snehan Kekre
10,871 already enrolled
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(174 reviews)
Recommended experience
Intermediate level
It is assumed that are competent in Python programming and have prior experience with building deep learning NLP models with TensorFlow or Keras
(174 reviews)
Recommended experience
Intermediate level
It is assumed that are competent in Python programming and have prior experience with building deep learning NLP models with TensorFlow or Keras
Use pre-trained NLP text embedding models from TensorFlow Hub
Perform transfer learning to fine-tune models on real-world text data
Visualize model performance metrics with TensorBoard
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Only available on desktop
This is a hands-on project on transfer learning for natural language processing with TensorFlow and TF Hub. By the time you complete this project, you will be able to use pre-trained NLP text embedding models from TensorFlow Hub, perform transfer learning to fine-tune models on real-world data, build and evaluate multiple models for text classification with TensorFlow, and visualize model performance metrics with Tensorboard.
Prerequisites: In order to successfully complete this project, you should be competent in the Python programming language, be familiar with deep learning for Natural Language Processing (NLP), and have trained models with TensorFlow or and its Keras API. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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 (9 min)
Setup your TensorFlow and Colab Runtime (10 min)
Download and Import the Quora Insincere Questions Dataset (13 min)
TensorFlow Hub for Natural Language Processing (11 min)
Define Function to Build and Compile Models (9 min)
Define Function to Compile and Train Models (8 min)
Train Various Text Classification Models (6 min)
Compare Accuracy and Loss Curves (4 min)
Fine-tuning Models from TF Hub (3 min)
Train Bigger Models and Visualize Metrics with TensorBoard (7 min)
It is assumed that are competent in Python programming and have prior experience with building deep learning NLP models with TensorFlow or Keras
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
The Coursera Project Network is a select group of instructors who have demonstrated expertise in specific tools or skills through their industry experience or academic backgrounds in the topics of their projects. If you're interested in becoming a project instructor and creating Guided Projects to help millions of learners around the world, please apply today at teach.coursera.org.
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.
174 reviews
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Showing 3 of 174
Reviewed on Jul 27, 2021
Nice project with indepth learning for NLP using Tensorflow .
Reviewed on Jul 4, 2022
Great project on NLP and the use of transfer learning via Tensorflow Hub. The project was well explained, step by step. The fact that the results are displayed on TensorBoard is a real plus !
Reviewed on Sep 30, 2020
Nice project ... Make a tutorial for neural style transfer with different type of GAN...
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Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.
You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.
At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.
Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.