The extreme compression of LSTM models using sparse structured additive matrices Post date July 8, 2021 ← GAP8: A Parallel, Ultra-low-power and flexible RISC-V based IoT Application Processor for the TinyML ecosystem → Introduction to optimization algorithms for compressing neural networks
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