Chevron Left
Retour à Build Multilayer Perceptron Models with Keras

Avis et commentaires pour d'étudiants pour Build Multilayer Perceptron Models with Keras par Coursera Project Network

99 évaluations

À propos du cours

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....

Meilleurs avis


16 juil. 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.


14 mai 2020

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

Filtrer par :

1 - 23 sur 23 Avis pour Build Multilayer Perceptron Models with Keras

par Bilal A B

17 juil. 2020

par Alvaro V

28 août 2020

par Vaishnavi D

15 mai 2020

par Feng J

3 oct. 2020

par Kizimenko V

3 juin 2020

par Yang X

5 juil. 2021


18 mai 2020

par RAIS M

9 mai 2020

par Anita S G

28 janv. 2021

par Kamlesh C

20 juin 2020

par p s

25 juin 2020

par sarithanakkala

25 juin 2020

par tale p

22 juin 2020

par Chow K M

4 oct. 2021

par Akash M

20 mai 2020

par Mohammad J S

1 août 2020

par Md. M H

26 sept. 2020


11 juil. 2020


23 juin 2020

par Jorge G

25 févr. 2021

par Eduardo M d S

2 juil. 2020

par Idris

20 sept. 2020


6 juin 2020