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Volume : XII, Issue : IX, October - 2022 PERFORMANCE MEASUREMENT AND STRUCTURAL ADAPTATION IN DIGITAL NEURAL NETWORK SYSTEMS Sadanand S/O Bharat, Dr. Milind Singh By : Laxmi Book Publication Abstract : The increasing complexity of digital neural network systems has highlighted the need for mechanisms that both monitor performance and adapt network structure to optimize efficiency. Keywords : Article : Cite This Article : Sadanand S/O Bharat, Dr. Milind Singh(2022). PERFORMANCE MEASUREMENT AND STRUCTURAL ADAPTATION IN DIGITAL NEURAL NETWORK SYSTEMS. Indian Streams Research Journal, Vol. XII, Issue. IX, http://isrj.org/UploadedData/11688.pdf References : - Hawks, B., Duarte, J., Fraser, N. J., Pappalardo, A., Tran, N., & Umuroglu, Y. (2021). Ps and Qs: Quantization‑Aware Pruning for Efficient Low Latency Neural Network Inference.
- Wang, K., Liu, Z., Lin, Y., Lin, Z., & Han, S. (2018). HAQ: Hardware‑Aware Automated Quantization with Mixed Precision. arXiv preprint.
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