main webpage W Topic Deep Learning International Journal of Combinatorial Optimization Problems and Informatics. • Vol 16 • No 3 Application of Deep Learning for Automated Peach Classification: A Study Based on ResNet Architectures 2025 This study evaluates the performance of various ResNet architectures for classifying peaches as “healthy” or “damaged”. A dataset of 3 370 images was used, with data-augmentation techniques applied to enrich the training set. Transfer learning was performed u… Article Open Deep Learning Open Article Page

Deep Learning

Branch of machine learning In machine learning, deep learning focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data. The adjective "deep" refers to the use of multiple layers (ranging from three to several hundred or thousands) in the network. Methods used can be supervised, semi-supervised or unsupervised. Some common deep learning network architectures include fully connected networks, deep belief networks, recurrent neural networks, convolutional neural networks, generative adversarial networks, transformers, and neural radiance fields. Critical Symbolic Virtual Narrative Open Deep Learning Open Article Page

Exploring foci of: International Journal of Combinatorial Optimization Problems and Informatics. • Vol 16 • No 3 Application of Deep Learning for Automated Peach Classification: A Study Based on ResNet Architectures 2025 This study evaluates the performance of various ResNet architectures for classifying peaches as “healthy” or “damaged”. A dataset of 3 370 images was used, with data-augmentation techniques applied to enrich the training set. Transfer learning was performed using pre-trained ResNet models, with stochastic gradient descent (SGD) adopted as the optimisation algorithm. Performance was assessed using accuracy, precision, recall and F1 score. ResNet-50 emerged as the most effective architecture, achieving a mean accura… Open Article Page

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Explore Deep Learning W Topic Deep Learning International Journal of Combinatorial Optimization Problems and Informatics. • Vol 16 • No 3 Application of Deep Learning for Automated Peach Classification: A Study Based on ResNet Architectures 2025 This study evaluates the performance of various ResNet architectures for classifying peaches as “healthy” or “damaged”. A dataset of 3 370 images was used, with data-augmentation techniques applied to enrich the training set. Transfer learning was performed u… Article Critical Symbolic Virtual Narrative Open Deep Learning Open Article Page