Jan 1, 1993 · We describe an algorithm called Divide and Conquer Neural Networks (DCN), which creates a feedforward neural network architecture during ...
Divide and Conquer with Neural Networks · Alex W. Nowak, Joan Bruna · Published in arXiv.org 24 April 2017 · Computer Science.
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Figure 1. The flowchart of proposed divide-and-conquer dual-architecture convolutional neural network (DDCNN). 3.1. Superpixel Segmentation Based on Entropy ...
a super network in advance and the manual design of the ... evolutionary algorithms to search for neural architectures ... Algorithm 1: Divide-and-conquer neural ...
Over the past couple years several algorithms were proposed for dynamically constructing network architectures. Some of these algorithms have been shown to ...
May 29, 2020 · In order to automatically design high-performance deep neural networks, a series of algorithms have been proposed to search neural architectures ...
The structure common to a class of divide and conquer algorithms is represented by a program scheme. A theorem is presented which relates the functionality ...
23 References · Order Matters: Sequence to sequence for sets · Making Neural Programming Architectures Generalize via Recursion · End-To-End Memory Networks.
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Empirically, neural networks that attempt to learn programs from data have exhib- ... ral network component, making ... ing divide-and-conquer algorithms. We use ...
The DCN learning algorithm consists of two major phases; the divide phase and the conquer ... In dynamic network construction algorithms ... Neural Networks, ...