Coursera Project Network
Deep Learning Inference with Azure ML Studio
Coursera Project Network

Deep Learning Inference with Azure ML Studio

Taught in English

Snehan Kekre

Instructor: Snehan Kekre

6,486 already enrolled

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.8

(123 reviews)

What you'll learn

  • Train and evaluate a multiclass neural network on Azure ML Studio to recognize handwritten digits

  • Create and deploy a predictive web service

  • Build a Python web app to query the Azure web service API for deep learning inference

Details to know

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Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

1.5 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning
4.8

(123 reviews)

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  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

Recommended experience

Some experience in programming in Python, and a high-level understanding of neural networks.

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Instructor

Instructor ratings
5.0 (6 ratings)
Snehan Kekre
Coursera Project Network
38 Courses185,525 learners

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How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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4.8

123 reviews

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  • 4 stars

    13%

  • 3 stars

    4.06%

  • 2 stars

    0%

  • 1 star

    0.81%

GB
4

Reviewed on Jul 7, 2020

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