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Opiniones y comentarios de aprendices correspondientes a Convolutions for Text Classification with Keras por parte de Coursera Project Network

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13 reseña

Acerca del Curso

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....

Principales reseñas

RT
25 de jul. de 2020

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

RD
14 de jul. de 2020

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

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1 - 13 de 13 revisiones para Convolutions for Text Classification with Keras

por Kinjal S P

30 de sep. de 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.

por RUDRA P D

15 de jul. de 2020

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

por Mesut Y

23 de nov. de 2020

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.

por Yaron K

18 de jun. de 2021

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].

por Ruslan T

26 de jul. de 2020

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

por Gangone R

3 de jul. de 2020

very useful course

por Md. R Q S

17 de sep. de 2020

great

por tale p

28 de jun. de 2020

good

por Hridoy

27 de jun. de 2020

good

por Ashwin P

26 de jun. de 2020

good

por p s

26 de jun. de 2020

Good

por Simon S R

4 de sep. de 2020

Could still be improved.

por Hanqing L

12 de jul. de 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.