DataHour: A Simple Guide to Deep Metric Learning
DataHour: A Simple Guide to Deep Metric Learning
12 Mar 202309:03am - 12 Mar 202310:03am
DataHour: A Simple Guide to Deep Metric Learning
About the Event
Deep metric learning is a technique that focuses on determining the similarity or dissimilarity between data through the use of a distance metric. One approach to deep metric learning is the use of Siamese networks. When training a Siamese network for deep metric learning, two common loss functions are used: Contrastive Loss and Triplet Loss.
In this DataHour session, we will learn about training a Siamese network using the Triplets loss function, with the sample image dataset. Which can be further used to build a visual search engine, object reidentifications, and face verification tasks.
Prerequisites: The zeal for learning new technologies, and good to have a conceptual understanding of how neural network works.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
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