返回到 Transfer Learning for NLP with TensorFlow Hub
学生对 Coursera 提供的 Transfer Learning for NLP with TensorFlow Hub 的评价和反馈
181 个评分
课程概述
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.
热门审阅
SJ
Jul 24, 2021
This is definitely a good project for TensorFlow tech learning. The instructor was very inspired.
RM
Aug 8, 2021
Highly recommended for those who want to gain upper hand in NLP tasks through modern transfer learning techniques
筛选依据：
26 - Transfer Learning for NLP with TensorFlow Hub 的 27 个评论（共 27 个）
创建者 Tuan A T
•Feb 18, 2021
useful course
创建者 Harith Y
•May 26, 2025
This is outdated. New versions of tf and tfhub have come and it doesn't support this type of code structure. Please update