DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning
DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning
18 Aug 202213:08pm - 18 Aug 202214:08pm
DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning
About the Event
The good old world of search engines had been dominated by keyword-based search for ages. But it has reached its limits. Neural embeddings allow us to explore completely new areas, including visual and audio search. Thanks to publicly available pretrained models, everybody can reuse a particular network for their tasks. And that no longer requires dozens of GPUs or labeling millions of data points. Similarity learning is a modern approach that lowers the data requirements while keeping great performance.
In this DataHour, Kacper is going to describe the basics and present how to create an end-to-end pipeline using specialized tools.
Prerequisites: Enthusiasm for learning Data Science and basic understanding Neural Networks.
- 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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