Deep learning models have reached significant success in many real-life problems. A lot of devices use neural networks to perform everyday tasks. However, complex neural networks are computationally expensive. And not all devices have GPU processors to run deep learning models. Therefore, it would be helpful to perform model compression methods to reduce the model size and accelerate model performance without losing accuracy significantly. One of the main model compression techniques is model pruning. ...
6. Model Pruning
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