A powerful deep neural network toolbox for graph classification, named Deep-Graph-CNN (DGCNN). DGCNN features a propagation-based graph convolution layer to extract vertex features, as well as a novel SortPooling layer which sorts vertex representat
darknet-master是一种神经网络框架，在其基础上可以实现物体检测，图像分类，模式识别功能。 (Darknet is a neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Dar
实现生成对抗网络（Generative-Adversarial-Networks，GAN）的工程实现。
Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in thi
RBF神经网络程序，其中包括PDF介绍文档和程序
In this exercise you will experiment with Radial-Basis Functions (RBFs). RBF
networks is a neural network type which can be used for classication as well
as function approximation. During this exercise you will study two a
