title: Analyzing the effectiveness of post-learning quantization for optimizing neural networks
abstract: Technologies are developing rapidly, including neural networks. After the advent of deep learning, the models became more complex and deeper every year, which led to a shortage of hardware. The article discusses modern methods for optimizing neural networks with an emphasis on post-learning quantization as the most practical approach for deploying models in conditions of limited computing resources. An overview of key methods, including pruning, quantization, and distillation of knowledge, is pr
journal: H&ES Research