Deep Learning, Artificial Intelligence, Mathematics, Convolutional Network, Gpt.
complex patterns. 3. Efficiency in Parameterization for Classification ConvNets: Due to weight sharing: ViTs: Despite their quadratic growth with sequence length, linear approximations like Linformer: Both delineate the feature space, forming robust decision boundaries. So far we learnt that while