Abstract: A method for neural network processing, the method may include applying, by a neural network processor, a group of neural network kernels of respective layers of a neural network to provide neural network output results. The applying may include applying a (2D) kernel of the group of kernels on 2D layer input values of a first layer of the neural network to provide first layer output values. The applying may include scanning the 2D layer input values with the 2D kernel. The scanning may include flattening the 2D kernel, flattening the 2D layer input values, and storing first layer output values in a 3D memory unit. The applying may also include applying a 3D kernel of the group of kernels, on 3D layer input values of a second layer of the neural network to provide second layer output values, wherein the applying comprises scanning at least one feature vector of the 3D layer input values with at least one vector of the 3D kernel.

Abstract: A method for neural network processing, the method may include applying, by a neural network processor, a group of neural network kernels of respective layers of a neural network to provide neural network output results. The applying may include applying a (2D) kernel of the group of kernels on 2D layer input values of a first layer of the neural network to provide first layer output values. The applying may include scanning the 2D layer input values with the 2D kernel. The scanning may include flattening the 2D kernel, flattening the 2D layer input values, and storing first layer output values in a 3D memory unit. The applying may also include applying a 3D kernel of the group of kernels, on 3D layer input values of a second layer of the neural network to provide second layer output values, wherein the applying comprises scanning at least one feature vector of the 3D layer input values with at least one vector of the 3D kernel.