A new and exciting image compression solution is also offered by the deep convolution neural network (CNN), which in recent years has resumed the neural network and achieved significant success both in artificial intelligent fields and in signal processing. In this paper we include a sy...
进化算法在几十年前就已经用来进化神经网络了,(Evolving artificial neural network)对2000年以前的进化算法做了literature review,可以参考查阅。 2.1 Bayesian optimization Bayesian Optimization(BO)是超参数优化最受欢迎的算法之一,但是因为典型的BO toolboxes都是基于高斯过程,并且主要关注于低维连续优化问题,所以在NAS...
This paper presents an image compression algorithm for gray scale images, based on neural networks. According to this algorithm the image will be first decomposed into Hadamard set of functions and second, the coefficients from the decomposition will be dynamically clustered by a newly proposed dynami...
Deep Neural Network Compression by In-Parallel Pruning-Quantization 论文笔记 摘要 深度神经网络在视觉识别任务(如图像分类和物体检测)上实现了最先进的精确度。然而,现代网络包含数百万个已学习的连接,并且当前的趋势是朝向更深和更密集连接的体系结构。这对在资源受限的系统(例如智能手机或移动机器人)上部署最先进...
Feb 17, 2016 methods.py Working Version with an extremely fast teaching! Feb 17, 2016 methods.pyc Working Version with an extremely fast teaching! Feb 17, 2016 out.jpg Working Version with an extremely fast teaching! Feb 17, 2016 Repository files navigation README NeuralCompressionNetworkAbout...
Soft Weight-Sharing for Neural Network Compression Karen UllrichEdward MeedsMax Welling Feb 2017 The success of deep learning in numerous application domains created the de- sire to run and train them on mobile devices. This however, conflicts with their computationally, memory and energy intense nat...
Interpreting Convolutional Neural Networks Through Compression In our compression, the filter importance index is defined as the classification accuracy reduction (CAR) of the network after pruning that filter. The filters are then ...
JPEG is one of the most commonly used standards among lossy image compression methods. However, JPEG compression inevitably introduces various kinds of artifacts, especially at high compression rates, which could greatly affect the Quality of Experience (QoE). Recently, convolutional neural network (CNN...
深度压缩 DEEP COMPRESSION: COMPRESSING DEEP NEURAL NETWORKS WITH PRUNING, TRAINED QUANTIZATION AND HUFFMAN CODING:用剪枝、训练量化和霍夫曼编码压缩深度神经网络 这篇论文是Stanford的Son
This paper presents a brief review of different studies on the application of the artificial neural network and the methodology adopted in solving the complex problems of the internal combustion engine. The various problems were divided based on the type of engine, and the fuel used. It includes...