TensorFlow for NLP: Text Embedding and Classification

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Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Learn the fundamentals of Text Embedding

Learn how to build a Text Classification algorithm

Learn how to build NLP models with Tensorflow

Clock2 hours
Intermediate중급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

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.

개발할 기술

Natural Language ProcessingArtificial Neural NetworkDocument ClassificationTensorflowText Embedding

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  1. Overview of the project and Import the Libraries

  2. Analyzing the embeddings

  3. Use Embedding in Text Classification

  4. Create and Train the model

  5. Evaluate the model with Predictions

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

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