AWS DeepComposer launches new learning capsule that dives deep into Transformer models

[AWS]

Today, we are excited to release a new learning capsule that dives deep into Transformer models. To learn the concepts behind generative AI, developers can use easy-to-consume, bite-sized learning capsules in the AWS DeepComposer console. In this new learning capsule, developers will learn about Transformer models which use attention layers to capture dependencies non-sequentially. Transformers are a machine learning architecture model designed to handle sequential data. By building a transformer-based model that understands musical motifs, or sequences, developers can create a model that can generate new music based on a series of sequences learned during training. Get started with creating a composition using the Transformers technique in the AWS DeepComposer Music studio.

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