Chevron Left
Back to Transfer Learning for NLP with TensorFlow Hub

Learner Reviews & Feedback for Transfer Learning for NLP with TensorFlow Hub by Coursera Project Network

4.9
stars
7 ratings
2 reviews

About the Course

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....
Filter by:

1 - 2 of 2 Reviews for Transfer Learning for NLP with TensorFlow Hub

By BOULASSEL A

Oct 06, 2020

thanks

By Janmejay B

Oct 01, 2020

Nice project ... Make a tutorial for neural style transfer with different type of GAN...