Transfer Learning for NLP with TensorFlow Hub
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 La…
Watch on Coursera ↗
(saves to browser)
DeepCamp AI