Inputs are initially handed via some thoroughly related layer, to some double-layer residual multihead consideration as shown in Fig. seven. Residual networks (Kaiming He, 2016), incorporate feedforward to stop neurons from suffering from exploding or vanishing gradients during the learning approach. The absolutely related layers within the residua