Capsule Networks (CapsNets) are a class of neural network architectures that can be used to more accurately model hierarchical relationships due to their hierarchical structure and dynamic routing algorithms. However. their high accuracy comes at the cost of significant memory and computational resources. making them less feasible for deployment on resource-constrained devices. https://www.mamapaisa.com/product-category/hair-and-scalp-treatment/
Progressive Bitwidth Assignment Approaches for Efficient Capsule Networks Quantization
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