Convolutions for Text Classification with Keras

4.7
별점
107개의 평가
제공자:
Coursera Project Network
3,756명이 이미 등록했습니다.
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

Apply Word Embeddings for Text Classification

Use 1D Convolutions as Feature Extractors for Text in NLP

Perform Binary Text Classification using Deep Learning with Keras

Clock1.5 hours
Intermediate중급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

Welcome to this hands-on, guided introduction to Text Classification using 1D Convolutions with Keras. By the end of this project, you will be able to apply word embeddings for text classification, use 1D convolutions as feature extractors in natural language processing (NLP), and perform binary text classification using deep learning. As a case study, we will work on classifying a large number of Wikipedia comments as being either toxic or not (i.e. comments that are rude, disrespectful, or otherwise likely to make someone leave a discussion). This issue is especially important, given the conversations the global community and tech companies are having on content moderation, online harassment, and inclusivity. The data set we will use comes from the Toxic Comment Classification Challenge on Kaggle. To complete this guided project, we recommend that you have prior experience in Python programming, deep learning theory, and have used either Tensorflow or Keras to build deep learning models. We assume you have this foundational knowledge and want to learn how to use convolutions in NLP tasks such as classification. Note: This course works best for learners based in the North America region. We’re currently working on providing the same experience in other regions.

개발할 기술

natural-language-processingembeddingsdeep-learningtext-classificationkeras

단계별 학습

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

  1. Introduction and Import Packages

  2. Load and Explore the Data

  3. Data Preparation — Tokenize and Pad Text Data

  4. Prepare Embedding Matrix with Pre-trained GloVe Embeddings

  5. Create the Embedding Layer

  6. Build the Model

  7. Train the Model

  8. Model Evaluation - Classify Toxic Comments

안내형 프로젝트 진행 방식

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

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

검토

CONVOLUTIONS FOR TEXT CLASSIFICATION WITH KERAS의 최상위 리뷰

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