“Any concern the economy is in recession or close to a recession should be completely dashed by these numbers,” Moody’s Chief Economist Mark Zandi told CNN’s Matt Egan on Friday, adding that it would take “an awful lot” to send the US economy into a downturn. “There is no ind...
11:32 p.m. 6:21:18, March 7, 2023 Stocks sink after Powell warns of higher rates From CNN's Krystal Hur Stocks tumbled after Fed Chair Jerome Powell warned interest rates could remain elevated. The Dow fell 0.38%. The S&P 500 and Nasdaq Composite slid 0.6% and 0.59%, respectively...
even if lockdowns are progressively lifted over the coming weeks,” said Rebecca Karnovitz, a Moody’s vice president, in emailed comments.“A wave of small business bankruptcies would weigh on a recovery in employment and economic activity.” ...
10:48 p.m. 14:14:15, May 19, 2020 Where the next round of job cuts are coming From CNN Business' David Goldman State and local governments tend to have balanced budget provisions built into their constitutions. Although that sounds great (no deficits!), it can spell disaster during ...
卷积神经网络可谓是现在深度学习领域中大红大紫的网络框架,尤其在计算机视觉领域更是一枝独秀。CNN从90年代的LeNet开始,21世纪初沉寂了10年,直到12年AlexNet开始又再焕发第二春,从ZF Net到VGG,GoogLeNet再到ResNet和最近的DenseNet,网络越来越深,架构越来越
[1]刘建平Pinard:卷积神经网络(CNN)反向传播算法 [2]Grzegorz Gwardys:Convolutional Neural Networks backpropagation: from intuition to derivation [3]Kunlun Bai:A Comprehensive Introduction to Different Types of Convolutions in Deep Learning [4]CS231n Convolutional Neural Networks for Visual Recognition...
=0 and batch_id%50==0: Batch = Batch+50 Batchs.append(Batch) all_train_loss.append(avg_loss.numpy()[0]) all_train_accs.append(acc.numpy()[0]) print("train_pass:{},batch_id:{},train_loss:{},train_acc:{}".format(pass_num,batch_id,avg_loss.numpy(),acc.numpy())) avg_...
一是引入了Factorization into small convolutions的思想,将一个较大的二维卷积拆成两个较小的一维卷积,比如将7´7卷积拆成1´7卷积和7´1卷积,或者将3´3卷积拆成1´3卷积和3´1卷积,如上图所示。一方面节约了大量参数,加速运算并减轻了过拟合(比将7´7卷积拆成1´7卷积和7´1卷积,比拆成...
Deep3D: Automatic 2D-to-3D Video Conversion with CNNs How To RunTo run this code. Please install MXNet following the official document. Deep3D requires MXNet to be built with Cuda 7.0 and Cudnn 4 or above. Please open mxnet/config.mk and set USE_CUDA and USE_CUDNN to 1. Then, ...
生成模型:基于单张图片找到物体位置 AutoML :无人驾驶机器学习模型设计自动化 等你来译: 如何在神经NLP处理中引用语义结构 你睡着了吗?不如起来给你的睡眠分个类吧! 高级DQNs:利用深度强化学习玩吃豆人游戏 深度强化学习新趋势:谷歌如何把好奇心引入强化学习智能体...