deep-residual-networks
by KaimingHe
Deep Residual Learning for Image Recognition
AI summary
ResNet models
Original models for deep residual networks as described in a 2015 research paper, implemented using Caffe.
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Similar projects
Found by comparing what the projects do, not just their names.
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Paper Notes
A collection of notes and summaries on various deep learning research papers, including their topics, techniques, and applications.
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An experimental study on residual networks to improve depth and width trade-offs in neural networks
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An implementation of ResNeXt models in Keras, allowing for efficient deep neural networks for image classification.
Neural network architecture
A Torch implementation of a novel neural network architecture designed to improve the generalization ability of deep image classification models.
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