Deep Learning, Artificial Intelligence, Image Classification, Vision Transformer, Transformers.
module: And there are h heads, similar to ViT. 1.3. Inverted Residual Feed-forward Network (IRFFN) Original FFN uses two linear layers with GELU in between: IRFFN is proposed, which consists of an expansion layer followed by a depth-wise convolution (MobileNetV1) and a projection layer.