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Avis et commentaires pour d'étudiants pour Convolutions for Text Classification with Keras par Coursera Project Network

4.7
étoiles
99 évaluations
11 avis

À propos du cours

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....

Meilleurs avis

RT

Jul 26, 2020

Good explanation about how to work with pretrained embeddings, but works too slow

RD

Jul 15, 2020

Very good project to understand the use of convolution in text data.

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1 - 11 sur 11 Avis pour Convolutions for Text Classification with Keras

par Kinjal S P

Oct 01, 2020

After this guided project i would like to do a new project on my own from all i learned in this course. The course was very informative, and explained why and what functions are used. Someone looking to experience hand-on on keras this project is just right.

par Ruslan T

Jul 26, 2020

Good explanation about how to work with pretrained embeddings, but works too slow

par RUDRA P D

Jul 15, 2020

Very good project to understand the use of convolution in text data.

par Gangone R

Jul 03, 2020

very useful course

par Md. R Q S

Sep 17, 2020

great

par tale p

Jun 28, 2020

good

par Md. R A

Jun 27, 2020

good

par Ashwin P

Jun 27, 2020

good

par p s

Jun 26, 2020

Good

par Simon S R

Sep 04, 2020

Could still be improved.

par Hanqing L

Jul 13, 2020

Insufficient insight given as why this particular setup (embedding, convolution etc.) works for classification. Resource sharing is missing: there is no code/data sharing despite of the promise in the video. Disappointing content.