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學生對 Coursera Project Network 提供的 Build Multilayer Perceptron Models with Keras 的評價和反饋

16 個評分
4 條評論


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....

1 - Build Multilayer Perceptron Models with Keras 的 4 個評論(共 4 個)

創建者 Vaishnavi D

May 15, 2020

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


May 18, 2020

little slow server

創建者 RAIS M

May 09, 2020

very nice course

創建者 Akash G M

May 20, 2020

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