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Ravina LadPiecing Together Vision Transformers: Solving the Puzzle of ViTIn this post, we’re going to solve the puzzle of Vision Transformers (ViT), a breakthrough in computer vision that treats image recognition…2d ago2d ago
JorgecardeteinLevel Up CodingConvNeXt: In Search of the Last Convolutional LayerViTs are precise but not so efficient and CNNs are efficient but not so precise. Let’s create a precise and efficient neural networkJan 13Jan 13
Skylar Jean CallisinTowards Data ScienceTokens-to-Token Vision Transformers, ExplainedA Full Walk-Through of the Tokens-to-Token Vision Transformer, and Why It’s Better than the OriginalFeb 271
Skylar Jean CallisinTowards Data ScienceVision Transformers, ExplainedA Full Walk-Through of Vision Transformers in PyTorchFeb 2710
Ravina LadPiecing Together Vision Transformers: Solving the Puzzle of ViTIn this post, we’re going to solve the puzzle of Vision Transformers (ViT), a breakthrough in computer vision that treats image recognition…2d ago
JorgecardeteinLevel Up CodingConvNeXt: In Search of the Last Convolutional LayerViTs are precise but not so efficient and CNNs are efficient but not so precise. Let’s create a precise and efficient neural networkJan 13
Skylar Jean CallisinTowards Data SciencePosition Embeddings for Vision Transformers, ExplainedThe Math and the Code Behind Position Embeddings in Vision TransformersFeb 273
JensRahnfeldShapley Values with Vision TransformersDespite all the success stories of Deep Learning, many areas refrain from using it due to trust issues. This is caused by neural network’s…1d ago
Hansa hettiarachchiUnveiling Vision Transformers: Revolutionizing Computer Vision Beyond ConvolutionWhat is a Vision Transformer?Aug 12, 2023
