150 ratings
7,701 already enrolled
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
Showcase this hands-on experience in an interview
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.
It is assumed that are competent in Python programming and have prior experience with building deep learning NLP models with TensorFlow or Keras
Natural Language Processing
Deep Learning
Inductive Transfer
Machine Learning
Tensorflow
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction and Project Overview
Setup your TensorFlow and Colab GPU Runtime
Download and Import the Quora Insincere Questions Dataset
TensorFlow Hub for Natural Language Processing
Define Function to Build Models
Compile Models
Train Various Text Classification Models
Compare Accuracy and Loss Curves
Fine-tune Model from TF Hub
Train Bigger Models and Visualize Metrics with TensorBoard
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
by JB
Sep 30, 2020Nice project ... Make a tutorial for neural style transfer with different type of GAN...
by TM
Jun 10, 2021The project is very detailed and hands on and afforded me the platform to grasp transfer learning in NLP.
by DM
Apr 6, 2021The explanation was really good, and now, I find it so simple to use TF Hub. Thanks a lot!
by DS
Jun 27, 2021Amazing short-time project gives a glimpse of idea about transfer learning using tensor flow hub
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.
More questions? Visit the Learner Help Center.
