Inputs are 1st passed by some entirely connected layer, to your double-layer residual multihead interest as shown in Fig. 7. Residual networks (Kaiming He, 2016), include feedforward to stop neurons from dealing with exploding or vanishing gradients for the duration of the learning course of action. The totally linked layers from the residual block… Read More