Hello @Bubda Trie
Thanks for reaching out to us first, I would say it depends on what kind of deep learning project you are working on, especially the data size.
To answer your question generally, yes, Azure Machine Learning supports deep learning. In fact, Azure Machine Learning provides several tools and frameworks that can be used for deep learning, including:
Azure Machine Learning SDK: The Azure Machine Learning SDK provides a Python API that can be used to build, train, and deploy deep learning models. The SDK includes support for popular deep learning frameworks such as TensorFlow, PyTorch, and Keras.
Azure Machine Learning Designer: The Azure Machine Learning Designer is a drag-and-drop interface that can be used to build and train deep learning models without writing any code. The Designer includes support for popular deep learning frameworks such as TensorFlow and Keras.
Azure Machine Learning Compute: Azure Machine Learning Compute provides a scalable and managed compute infrastructure that can be used to train deep learning models at scale. The Compute infrastructure includes support for popular deep learning frameworks such as TensorFlow, PyTorch, and Keras.
Azure Machine Learning Studio: Azure Machine Learning Studio is a web-based interface that can be used to build, train, and deploy deep learning models. The Studio includes support for popular deep learning frameworks such as TensorFlow and Keras.
Overall, Azure Machine Learning provides a comprehensive set of tools and frameworks that can be used for deep learning, making it a powerful platform for building and deploying deep learning models.
Then, I would like to recommend you consider Azure Databrick, which you should be familiar with for deep learning projects, it's under Azure too so it should be very easy to leverage the data and model you already have.
I hope this helps.
Regards,
Yutong
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