Inputs are 1st passed by some completely related layer, to your double-layer residual multihead focus as shown in Fig. 7. Residual networks (Kaiming He, 2016), include feedforward to avoid neurons from experiencing exploding or vanishing gradients through the learning system. The completely related layers during the residual block (dashed box) are … Read More