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Learner Reviews & Feedback for TensorFlow for NLP: Text Embedding and Classification by Coursera Project Network

9 ratings
3 reviews

About the Course

This guided project course is part of the "Tensorflow for Natural Language Processing" series, and this series presents material that builds on the third course of DeepLearning.AI TensorFlow Developer Professional Certificate, which will help learners reinforce their skills and build more projects with Tensorflow. In this 2-hour long project-based course, you will learn the fundamentals of Text Embedding and Text Classification, and you will learn practically how to use text embeddings for a classification task in the real world and create, train, and test a neural network with Tensorflow using texts, and you will get a bonus deep learning exercise implemented with Tensorflow. By the end of this project, you will have learned text embedding and created a neural network with TensorFlow on text classification. This class is for learners who want to learn how to work with natural language processing and use Python for building neural networks with TensorFlow, and for learners who are currently taking a basic deep learning course or have already finished a deep learning course and are searching for a practical deep learning project with TensorFlow. Also, this project provides learners with further knowledge about creating and training text classification models and improves their skills in Tensorflow which helps them in fulfilling their career goals by adding this project to their portfolios....
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1 - 3 of 3 Reviews for TensorFlow for NLP: Text Embedding and Classification

By Mo R

Mar 22, 2021

Cool project with excellent lectures from Mo. My friend recommended this course for me, and it worth watching the lectures. Thank you Mo. I'm honored to take your project and share the certificate.

By Yixiao L

Feb 2, 2021

Scientific error in video 4: The model uses 1 dense layer of 3 neurons, instead of 3 layers.

By Aruparna M

Jan 3, 2021

Very very basic coding and technical Introduction to NLP.