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116 Bewertungen
Über den Kurs
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.
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.
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1 - 17 von 17 Bewertungen für Deep Learning Inference with Azure ML Studio
von MALARVIZHI
•24. Juni 2020
Excellent ..thanks a lot...
von Gangone R
•2. Juli 2020
very useful course
von Rishabh R
•9. Mai 2020
Excellent project
von 121910310046 M N
•26. Sep. 2020
E
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von Anitha V
•10. Juli 2020
EXCELLENT
von SASI V T
•10. Juli 2020
EXCELLENT
von Vidhi S J
•25. Apr. 2020
very good
von Kamlesh C
•23. Juli 2020
Thanks
von 121910315017 T S
•9. Okt. 2020
Good
von PAVITHRA B
•21. Aug. 2020
GOOD
von p s
•25. Juni 2020
Good
von tale p
•13. Juni 2020
good
von Nikita D S
•25. Apr. 2020
Nice
von Grace G N B
•8. Juli 2020
Thanks very much to COursera and special thanks to Mentor Snehan Kekre
von Tusharika S B
•7. Mai 2020
Good Learning with simplicity
von sandeep d
•22. Sep. 2020
great
von Jayakrishnan K
•27. Sep. 2020
Nice concept but need to do in our own system because we need to sign in in Microsoft account. I think it may cause privacy issues. Otherwise good project
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