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 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.
Natural Language Processing
由 AQ 提供Nov 20, 2021
This is an amazing tutorial for me as I am learning technologies of AI in various techniques. Found this very helpful and clear instruction given by the tutor.
由 SJ 提供Jul 24, 2021
This is definitely a good project for TensorFlow tech learning. The instructor was very inspired.
由 JB 提供Sep 30, 2020
Nice project ... Make a tutorial for neural style transfer with different type of GAN...
由 DM 提供Apr 6, 2021
The explanation was really good, and now, I find it so simple to use TF Hub. Thanks a lot!