Shivam Sharma
TechScalable
APRENDER, CONECTAR, CRIAR
Pronto para começar a usar a IA e as tecnologias mais recentes? O Microsoft Reactor fornece eventos, treinamento e recursos da comunidade para ajudar desenvolvedores, empreendedores e startups a desenvolver a tecnologia de IA e muito mais. Junte-se a nós!
APRENDER, CONECTAR, CRIAR
Pronto para começar a usar a IA e as tecnologias mais recentes? O Microsoft Reactor fornece eventos, treinamento e recursos da comunidade para ajudar desenvolvedores, empreendedores e startups a desenvolver a tecnologia de IA e muito mais. Junte-se a nós!
22 February, 2022 | 12:30 PM - 1:30 PM (UTC) Tempo Universal Coordenado UTC
Topic: Ciência de dados e machine learning
Language: Inglês
In this workshop, you will get an introduction to Computer Vision using one of the most popular deep learning frameworks, PyTorch. We'll use image classification tasks to learn about convolutional neural networks, and then see how pre-trained networks and transfer learning can improve our models and solve real-world problems.
The session will focus on Azure services and related products like Azure Machine Learning Service, Azure Storage Account, Azure Data Lake, PyTorch & Convolutional neural networks (CNN).
Learn how to build Dense Neural Networks and Convolutional Neural Networks.
Further Learning : https://aka.ms/ComputerVision-PyTorch-LM-22/2
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
LinkedIn - https://www.linkedin.com/in/shivam-sharma-9828a536/
Twitter - https://twitter.com/ShivamSharma_TS
Facebook - https://www.facebook.com/TSshivamsharma/
Basic understanding of machine learning
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Transmissão ao vivo
Topic: Ciência de dados e machine learning
Language: Inglês
Format:
Transmissão ao vivo
Topic: Ciência de dados e machine learning
Language: Inglês