This document describes various optimization methods for neural networks and provides a curated list of resources to help you get started with each technique.
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Knowledge Hub: Master Human Pose Estimation »
Knowledge Hub: Master Human Pose Estimation »
Knowledge Hub: Master Human Pose Estimation »
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Advanced Topics
Optimization Techniques
Pruning
Pruning is a technique for reducing the number of parameters in a neural network by removing the weights of the least important connections.
Quantization
Quantization is a technique for reducing the precision of the weights and activations in a neural network.
Neural Architecture Search
Neural architecture search (NAS) is a technique for automatically finding the best neural network architecture for a given task.
Knowledge Distillation
Knowledge distillation is a technique for training a neural network by distilling the knowledge of a larger, more accurate network into a smaller, less accurate network.
Other Resources
This page contains a list of additional resources related to optimization methods for neural networks.
