tinyML Talks Sweden: DeepMaker – Deep Learning Accelerator on Commercial Programmable Devices



DeepMaker – Deep Learning Accelerator on Commercial Programmable Devices
Masoud Daneshtalab, Professor
Mälardalen University

Currently, the use of deep neural networks (DNN) in industrial systems is gaining significant momentum. However, optimization and deployment of DNN architectures for resource-constrained embedded programmable systems is a relatively costly process. This talk will introduce the DeepMaker framework that optimizes the DNN architectures for resource-constrained edge devices.

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