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Build Multilayer Perceptron Models with Keras(으)로 돌아가기

Rhyme의 Build Multilayer Perceptron Models with Keras 학습자 리뷰 및 피드백

16개의 평가
4개의 리뷰

강좌 소개

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....
필터링 기준:

Build Multilayer Perceptron Models with Keras의 4개 리뷰 중 1~4

교육 기관: Vaishnavi D

May 15, 2020

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

교육 기관: SWAPNA

May 18, 2020

little slow server

교육 기관: RAIS M

May 09, 2020

very nice course

교육 기관: Akash G M

May 20, 2020

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