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  • Value Added Course Implementation of ML Algorithms with FPGA – VAC 2515
Value Added Course Implementation of ML Algorithms with FPGA – VAC 2515
05-08-2026

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21-10-2026
 SENSE
 TT-312, VIT Vellore
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The value-added course, “Implementation of Machine Learning Algorithms with FPGA,” aims to familiarize students with ML models for edge computing, the need for hardware acceleration, and the practical implementation of ML, NN, and DNN algorithms on FPGA platforms. The course includes hands-on sessions with FPGA design tools, HLS-based acceleration, optimization techniques such as quantization and pruning, and deployment workflows for real-time ML applications.

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