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Techniques that reduce model size and improve execution performance by setting a portion of weights to zero.
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TensorFlow is a comprehensive machine learning framework designed for the construction, training, and deployment of complex mathematical models. It utilizes a graph-based execution model that represents operations as directed acyclic graphs, enabling automatic differentiation and efficient parallel processing. The syst
Optimizes execution performance by setting specific model weights to zero through target-aware authoring and specialized kernels.
YOLOv5 is a comprehensive computer vision framework designed for end-to-end deep learning, specializing in real-time object detection, image classification, and instance segmentation. It provides a unified toolkit that manages the entire lifecycle of a model, from initial dataset configuration and hyperparameter tuning
Decreases model size and improves execution speed by setting a specific percentage of weights to zero.