Alan Smith
Active Solutions
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Junte-se ao Microsoft Reactor e interaja com os desenvolvedores ao vivo
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!
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Building an Image Similarity Search using Spotify Annoy, PyTorch & Machine Learning
3 4月, 2023 | 10:35 午前 - 11:30 午前 (UTC) Tempo Universal Coordenado UTC
場所: Stockholm
アドレス: Regeringsgatan 59 111 57 Stockholm Sweden c / o Epicenter
- 形式:
Pessoalmente (Stockholm)
Transmissão ao vivo
トピック: Ciência de dados e machine learning
言語: Inglês
What is this session about?
Spotify Annoy (approximate nearest neighbor Oh Yeah!) is an open-source algorithm used by Spotify for identifying similar sounding songs for recommendations to users. Spotify Annoy can also be used to create a search index for similar images, which has many real-world implementations including recommending products in on-line stores. Azure Machine Learning provides a fully-featured platform allowing data scientists, developers and teams to collaborate in the rapid development and deployment of machine learning solutions.
Why should you attend?
In this demo intensive session Alan will run through the process of creating an image similarity search API hosted in Azure ML. Starting with the creation of an image dataset he will create an Azure ML experiment to use a pre-trained PyTorch model to create an approximate nearest neighbor index using Spotify Annoy. He will then create an endpoint in Azure ML that return images that are similar to a target image. Throughout the process he will explain the theory of using PyTorch and Spotify Annoy and how the features of Azure ML Studio can be leveraged for the rapid cloud-based development of machine learning solutions.
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