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Отзывы учащихся о курсе Build Multilayer Perceptron Models with Keras от партнера Coursera Project Network

4.6
звезд
Оценки: 82
Рецензии: 19

О курсе

In this 45-minute long project-based course, you will build and train a multilayer perceptronl (MLP) model using Keras, with Tensorflow as its backend. We will be working with the Reuters dataset, a set of short newswires and their topics, published by Reuters in 1986. It's a very simple, widely used toy dataset for text classification. There are 46 different topics, some of which are more represented than others. But each topic has at least 10 examples in the training set. So in this project, you will build a MLP feed-forward neural network to classify Reuters newswires into 46 different mutually-exclusive topics. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and Keras pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - 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....

Лучшие рецензии

BB

Jul 17, 2020

Professor taught course quite well and work load was bearable. Though it was soooooo easy course I would suggest Professor to increase the difficulty level by adding another week.

VD

May 15, 2020

Nice project, could be a bit better with more written instructions. But still, learnt a lot!

Фильтр по:

1–19 из 19 отзывов о курсе Build Multilayer Perceptron Models with Keras

автор: Bilal B

Jul 17, 2020

Professor taught course quite well and work load was bearable. Though it was soooooo easy course I would suggest Professor to increase the difficulty level by adding another week.

автор: Alvaro V

Aug 29, 2020

Good project, but the questions in the quiz need to be updated, clear and detailed explanatios in every step.

автор: Vaishnavi D

May 15, 2020

Nice project, could be a bit better with more written instructions. But still, learnt a lot!

автор: Feng J

Oct 03, 2020

very easy to follow and practice this simple hands-on project !

автор: Kizimenko V

Jun 03, 2020

Nice and quick introduction to MLP with Keras! Thanks so much!

автор: SWAPNA

May 18, 2020

little slow server

автор: RAIS M

May 09, 2020

very nice course

автор: Kamlesh C

Jun 20, 2020

Thanks

автор: p s

Jun 26, 2020

Good

автор: sarithanakkala

Jun 25, 2020

Good

автор: tale p

Jun 22, 2020

good

автор: Akash G M

May 20, 2020

Nice project for practice. For those who are beginner it is very good for them to do practice.

автор: Mohammad J S

Aug 01, 2020

easty-to-use, fast project accompanied by a general understanding of MPLs!

автор: Md. M H 1

Sep 26, 2020

very helpful for beginner

автор: SARAVANAN.V

Jul 11, 2020

it's my 50th course ...

автор: ANANTHARAJ.R

Jun 23, 2020

No comments

автор: Eduardo M d S

Jul 03, 2020

Este curso apenas te guia a escrever algumas linhas, explicando superficialmente o que essa linhas significam, sem dar informações suficientes de como usar as mesmas bibliotecas para realizar outras tarefas.

автор: Idris

Sep 21, 2020

When the model we fit is clearly awful but "it is not the purpose of this course" I am sorry you forgot to mention that. I do not recommend this unless it is free.

автор: KARTIKEYA G

Jun 06, 2020

VERY POOR SERVICE