How to apply CNN in azure machine learning

Pakas Danker 20 Reputation points
2024-02-22T23:22:06.9666667+00:00

I am working on my neural networking project and want to know I can apply those model in azure machine learning especially models like CNN. Any thought? What is the price?

Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
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  1. YutongTie-MSFT 53,931 Reputation points
    2024-02-23T02:44:14.0033333+00:00

    @Pakas Danker

    Thanks for reaching out to us, below steps are the recommended steps - As Azure Machine Learning allows you to import existing models using frameworks like TensorFlow, PyTorch, or Keras. You can also write your own Python scripts to define the CNN since it's not easy to build the model only in Azure Machine Learning Studio.

    There is a training material you may want to refer to - https://learn.microsoft.com/en-us/training/modules/train-evaluate-deep-learn-models/

    Applying Convolutional Neural Networks (CNNs) in Azure Machine Learning involves several steps:

    1. Create an Azure Machine Learning workspace: This is a cloud-based environment that you use to train, deploy, automate, manage, and track ML models.
    2. Upload your data to the cloud: You can do this by creating a dataset in your workspace. Azure supports many types of data, including images, which are used in CNNs.
    3. Create a compute resource: This is where you'll train your model. Azure provides various VM sizes to accommodate different needs.
    4. Use Azure Machine Learning designer: This drag-and-drop tool lets you create, test, and deploy machine learning models without writing code.
    5. Import a pretrained CNN model or define your own: Azure Machine Learning allows you to import existing models using frameworks like TensorFlow, PyTorch, or Keras. You can also write your own Python scripts to define the CNN.
    6. Train the model: Using Azure Machine Learning's training capabilities, you can train your model on your dataset.
    7. Evaluate and deploy the model: After training, you can test the model's accuracy, then deploy it as a web service.

    Regarding the pricing, it depends on several factors including the type of compute instance you use for training, how long you train your models, and how often you use prediction services. You can find detailed pricing information on the Azure Machine Learning Pricing page: https://azure.microsoft.com/en-us/pricing/details/machine-learning/

    For more detailed steps, refer to the Azure Machine Learning documentation: https://docs.microsoft.com/en-us/azure/machine-learning/

    Please have a try and let us know if you have any questions.

    Regards,

    Yutong

    -Please kindly accept the answer if you feel helpful to support the community, thanks a lot.

    1 person found this answer helpful.

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