Jack Erickson, Principal Product Marketing Manager at MathWorks, presents the “Deploying Deep Learning Applications on FPGAs with MATLAB” tutorial at the September 2020 Embedded Vision Summit.
Designing deep learning networks for embedded devices is challenging because of processing and memory resource constraints. FPGAs present an even greater challenge due to the complexity of programming in Verilog or VHDL, and the hardware expertise needed for prototyping on an FPGA. This talk illustrates a workflow to facilitate the design and deployment of these applications to FPGAs using pre-built bitstreams without the need for much hardware expertise.
To view the rest of the 2020 Embedded Vision Summit videos, visit the event's video archive.
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