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Comparison between layer-to-layer network training and conventional network training using Deep Convolutional Neural Networks. (arXiv:2303.15245v2 [cs.CV] UPDATED)
cs.CV updates on arXiv.org arxiv.org
Title: Comparison between layer-to-layer network training and conventional
network training using Deep Convolutional Neural Networks
Abstract: Convolutional neural networks (CNNs) are widely used in various
applications due to their effectiveness in extracting features from data.
However, the performance of a CNN heavily depends on its architecture and
training process. In this study, we propose a layer-to-layer training method
and compare its performance with the conventional training method.
In the layer-to-layer training approach, we treat a portion of the early
layers …
abstract applications arxiv cnn cnns comparison convolutional neural networks data features network networks network training neural networks performance training