Neural Style Transfer
The one task where you freeze the network and train the image instead.
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Face Recognition and Metric Learning
When every person is a class and new people arrive daily, classification stops being the right formulation.
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Semantic Segmentation and U-Net Explained
Classification per pixel sounds simple until you have to recover the resolution you threw away.
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Object Detection with YOLO, IoU, and NMS
Detection is classification plus regression plus a deduplication problem nobody mentions until it breaks.
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PyTorch Image Classification Fine-Tuning
Almost nobody trains an image classifier from scratch. Here is what the alternative actually looks like.
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CNN Architecture Comparison
Each architecture solved one specific problem left over from the previous one.
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Convolutional Neural Networks
A convolution is a fully connected layer with two constraints. Those constraints are the whole idea.