Transfer Learning for NLP with TensorFlow Hub

This project focuses on transfer learning for natural-language processing using TensorFlow or TF Hub. You will be able use TensorFlow Hub pre-trained NLP text embedding model, perform transfer learning to fine tune models on real-world data and build multiple models for text classification using TensorFlow. Tensorboard can also visualize model performance metrics. You must be proficient in Python programming and familiar with deep learning for Natural Language Processing (NLP). This course is best for those who live in North America. The same experience is being offered in other areas.