Bare‐Bones particle Swarm optimization‐based quantization for fast and energy efficient convolutional neural networks
Jihene Tmamna,
Emna Ben Ayed,
Rahma Fourati
et al.
Abstract:Neural network quantization is a critical method for reducing memory usage and computational complexity in deep learning models, making them more suitable for deployment on resource‐constrained devices. In this article, we propose a method called BBPSO‐Quantizer, which utilizes an enhanced Bare‐Bones Particle Swarm Optimization algorithm, to address the challenging problem of mixed precision quantization of convolutional neural networks (CNNs). Our proposed algorithm leverages a new population initialization, … Show more
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