Shivam Sharma
TechScalable
LEARN, CONNECT, BUILD
Microsoft Reactor
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LEARN, CONNECT, BUILD
Microsoft Reactor
Partecipa a Microsoft Reactor e interagisci con gli sviluppatori live
Sei pronto per iniziare a usare l''intelligenza artificiale e le tecnologie più recenti? Microsoft Reactor fornisce eventi, formazione e risorse della community per aiutare sviluppatori, imprenditori e startup a sviluppare la tecnologia di intelligenza artificiale e altro ancora. Unisciti a noi.
Indietro
Distributed Deep Learning with Horovod and Azure Databricks
5 aprile, 2022 | 12:30 PM - 1:30 PM (UTC) Coordinated Universal Time
- Formato:
Live Stream
Argomento: Sviluppo cloud
Lingua: italiano
In Azure Databricks, you can perform distributed deep learning by using the open-source framework Horovod on top of TensorFlow, Keras, and PyTorch. Azure Databricks supports Uber's Horovod framework to run distributed, deep learning training jobs on Spark. In this workshop, you'll learn how to distribute deep learning model training in Azure Databricks with HorovodRunner.
The session will focus on Azure services and related products like Azure Machine Learning Service ,Azure Databricks,Spark ML,Mlflow & Horovod
What will you learn from the session :
- Use HorovodRunner in Azure Databricks for distributed deep learning.
Further Learning : https://aka.ms/HorovodandAzureDatabricks
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
LinkedIn - https://www.linkedin.com/in/shivam-sharma-9828a536/
Twitter - https://twitter.com/ShivamSharma_TS
Facebook - https://www.facebook.com/TSshivamsharma/
Prerequisiti
You should be familiar with using Python to train deep learning models in Azure Databricks.
Relatori