Deep Learning, Artificial Intelligence, Mathematics, Convolutional Network, Gpt.
self-attention: The entire sequence evolves as: Both architectures build upon their inputs layer by layer, modeling hierarchical patterns. 2. Injecting Non-Linearity ConvNets: ReLU is commonly used: ViTs: GELU is typical in transformers: These non-linearities ensure that the models can capture