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#image-classification

2 articles

01 ·VLMs & Multimodal·★ MEMBER·PAPER·7 min read Paper Deep Dive — ViT: Treating an Image Like a Sentence A reading of the ViT paper (Dosovitskiy et al., 2020/2021) grounded strictly in its own text: the move of treating 16x16 patches as words, what the position-embedding ablation actually showed, the price of dropping the convolutional inductive bias, and how conditional the claim 'beats CNNs at scale' really is. 02 ·CNNs & Image Recognition·FREE·8 min read Image Classification from Scratch — The Invention of the Convolution Feed a photograph straight into a fully connected layer and you get over a hundred million parameters — and a model for which the same cat, moved a few pixels, is an entirely different input. The convolution solves both with one idea: slide a small window. Kernels, stride, padding and pooling, ending with softmax turning scores into probabilities.