WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Comprehensive tutorial implementing 20+ modern architectures (LeNet through Vision Transformers, Swin Transformer, ConvNeXt) across classification, detection, segmentation, instance segmentation, and keypoint detection tasks. Each model includes detailed architecture explanations, dual implementations in PyTorch and TensorFlow2/Keras with source code walkthroughs, and accompanying presentation materials for structured learning.
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Jan 01, 2026
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