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Deep Learning Inference with Azure ML Studio (Coursera)

Deep Learning Inference with Azure ML Studio (Coursera)

Key Facts

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Provider
School
Language
Level
Coursera
Coursera Project Network
English
Beginner

By enrolling in this online course you will spend approx. 1.5 hours to learn key concept of Deep Learning.

Course Overview

In this project-based course, you will use the Multiclass Neural Network module in Azure Machine Learning Studio to train a neural network to recognize handwritten digits. Microsoft Azure Machine Learning Studio is a drag-and-drop tool you can use to rapidly build and deploy machine learning models on Azure.

The data used in this course is the popular MNIST data set consisting of 70,000 grayscale images of hand-written digits. You are going to deploy the trained neural network model as an Azure Web service. Azure Web Services provide an interface between an application and a Machine Learning Studio workflow scoring model. You will write a Python application to use the Batch Execution Service and predict the class labels of handwritten digits.

This is the third course in this series on building machine learning applications using Azure Machine Learning Studio. I highly encourage you to take the first course before proceeding. It has instructions on how to set up your Azure ML account with $200 worth of free credit to get started with running your experiments!

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 scikit-learn pre-installed.

Course Syllabus

  1. Introduction and Overview

  2. Data Preparation

  3. Train and Evaluate Multiclass Neural Network

  4. Create and Deploy Predictive Web Service

  5. Inference Using the Web Service API

Meet your Instructors

* We try to provide you as many free online courses from multiple providers and universities but in some cases you may have pay nominal fee to get assignments and/or to claim verified Certificate or Degree from respective provider.

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