Guide to Perceiver: A Scalable Transformer-based Model - Analytics India Magazine

Guide to Perceiver: A Scalable Transformer-based Model - Analytics India Magazine

Perceiver is a transformer-based model that uses both cross attention and self-attention layers to generate representations of multimodal data. A latent array is used to extract information from the input byte array using top-down or feedback processing

Real-World Data comes in several modalities such as audio, text, video and images. Understanding different kinds of data and extracting patterns in it requires algorithms and models specific to the modality of the data.

Read more: https://analyticsindiamag.com/guide-to-perceiver-a-scalable-transformer-based-model/

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