_ai-seminar-efficient-training-of-neural-networks.jpg "AI Seminar - Efficient training of neural networks from pruning neural networks Video Screenshot Preview")
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⏲ Duration: 26 min 95 sec
✓ Published: 05-Mar-2023
✓ Published: 05-Mar-2023
Description:
In neural networks, overparametrization - using more model parameters than the number of training data available - is often adopted to solve highly non-convex optimization problems and improve the network's generalization. However, this technique leads to higher model complexity and higher computational demands.nnTherefore, it's necessary to find an optimal compromise to reduce the size of the networks while maintaining high performance. The most common methods are based on pruning techniques th
In neural networks, overparametrization - using more model parameters than the number of training data available - is often adopted to solve highly non-convex optimization problems and improve the network's generalization. However, this technique leads to higher model complexity and higher computational demands.nnTherefore, it's necessary to find an optimal compromise to reduce the size of the networks while maintaining high performance. The most common methods are based on pruning techniques th
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