Most machine learning workflows involve working with data, creating models, optimizing model parameters, and saving the trained models. This workshop introduces you to a complete machine learning (ML) workflow implemented in PyTorch, a popular ML framework for Python.

The session will focus on Azure services and related products like Azure Machine Learning Service, Azure Storage Account, Azure Data Lake & PyTorch

You will learn about Tensors, datasets & dataLoaders, differentiations, training, and optimization techniques.

Further Learning : https://aka.ms/IntrotoPyTorch-LM-17/2

Speaker : Shivam Sharma

Speaker BIO- Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning, Kubernetes & DevOps. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies.

Social Handle

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