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Вернуться к Basic Sentiment Analysis with TensorFlow

Отзывы учащихся о курсе Basic Sentiment Analysis with TensorFlow от партнера Coursera Project Network

Оценки: 44
Рецензии: 11

О курсе

Welcome to this project-based course on Basic Sentiment Analysis with TensorFlow. In this project, you will learn the basics of using Keras with TensorFlow as its backend and you will learn to use it to solve a basic sentiment analysis problem. By the end of this 2-hour long project, you will have created, trained, and evaluated a Neural Network model that, after the training, will be able to predict movie reviews as either positive or negative reviews - classifying the sentiment of the review text. Notes: - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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1–12 из 12 отзывов о курсе Basic Sentiment Analysis with TensorFlow

автор: Chouaieb N

Apr 18, 2020

The content was too easy for me .. the theory behind Embeddings etc .. was not very well explained .. the Keras API is used without thorough explanations .. I do not recommand this class. I would like to thank the Instructor for the effort though.

автор: Atharva B T

Jun 02, 2020

Fantastic! This got me really excited to get into a deeper understanding of TensorFlow and neural networks and overall ML

автор: Joerg A

May 27, 2020

The instructor is really preparing well for the student to learn.

автор: Karankumar K

Apr 26, 2020

I think this was my first steps towards learning AI

автор: prachi w

May 25, 2020

A very very good course for beginners

автор: Abhilekh P

May 19, 2020

very interesting project

автор: Shyni G

May 06, 2020

Short and informative

автор: Ashwin P

Apr 21, 2020

Excellent Projects

автор: ABHIRUP H

May 15, 2020


автор: Gurpreet S C

Apr 20, 2020



May 13, 2020

Very slow interface

автор: Mohammad S H

Apr 09, 2020

As instruction or organization you have to support the course and project with more explanation about the functions/classes... and what is the meaning of each function input and what is the output meaning.