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Optimizing Convolution Neural Nets with a Unified Transformation Approach.

The article explores how deep learning models have evolved from relying on hand-crafted operator libraries to utilizing compiler-based approaches for optimization, especially with the growing diversity of hardware platforms. It highlights the Apache TVM project, which allows machine learning enginee...

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Publicado en:Communications of the ACM Vol. 67; no. 10; pp. 91 - 92
Autor principal: Ceze, Luis
Formato: Opinion
Publicado: Association for Computing Machinery Oct2024
Materias:
Deep learning
Machine learning
Computer architecture
Mathematical optimization
Computer input-output equipment
Compilers (Computer programs)
Acceso en línea:Ver este registro en EBSCOhost