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Отзывы учащихся о курсе Convolutions for Text Classification with Keras от партнера Coursera Project Network

4.7
звезд
Оценки: 118
Рецензии: 13

О курсе

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....

Лучшие рецензии

RT
25 июля 2020 г.

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

RD
14 июля 2020 г.

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

Фильтр по:

1–13 из 13 отзывов о курсе Convolutions for Text Classification with Keras

автор: Kinjal S P

30 сент. 2020 г.

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.

автор: RUDRA P D

15 июля 2020 г.

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

автор: Mesut Y

23 нояб. 2020 г.

Hello,

My major is economics. I have been following your PYTHON lessons for a long time. I participated in these projects to make myself better. I've seen the benefit of these lessons. Your lecture was great. I appreciate your hard work and your contribution to my knowledge.

автор: Yaron K

18 июня 2021 г.

Demonstrates using pre-computed word embeddings together with Keras CNN for classification. Did project in June2021 and the completed notebook was in the Coursera project resources section [Not in Rhyme].

автор: Ruslan T

26 июля 2020 г.

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

автор: Gangone R

3 июля 2020 г.

very useful course

автор: Md. R Q S

17 сент. 2020 г.

great

автор: tale p

28 июня 2020 г.

good

автор: Hridoy

27 июня 2020 г.

good

автор: Ashwin P

26 июня 2020 г.

good

автор: p s

26 июня 2020 г.

Good

автор: Simon S R

4 сент. 2020 г.

Could still be improved.

автор: Hanqing L

12 июля 2020 г.

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.