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15 Bewertungen

Über den Kurs

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....

Top-Bewertungen

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!

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1 - 15 von 15 Bewertungen für Build Multilayer Perceptron Models with Keras

von 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.

von Vaishnavi D

May 15, 2020

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

von Kizimenko V

Jun 03, 2020

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

von SWAPNA

May 18, 2020

little slow server

von RAIS M

May 09, 2020

very nice course

von Kamlesh C

Jun 20, 2020

Thanks

von p s

Jun 26, 2020

Good

von sarithanakkala

Jun 25, 2020

Good

von tale p

Jun 22, 2020

good

von Akash G M

May 20, 2020

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

von Mohammad J S

Aug 01, 2020

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

von SARAVANAN.V

Jul 11, 2020

it's my 50th course ...

von ANANTHARAJ.R

Jun 23, 2020

No comments

von 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.

von KARTIKEYA G

Jun 06, 2020

VERY POOR SERVICE