Quantization-Guided Training for Compact TinyML Models Post date February 14, 2021 ← Compiler Toolchains for Deep Learning Workloads on Embedded Platforms → SWIS – Shared Weight bIt Sparsity for Efficient Neural Network Acceleration
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