nature14539 - Deep Learning.pdf,1Facebook AI Research, 770 Broadway, New York, New York 10003 USA. 2New York University, 715 Broadway, New York, New York 10003, USA. 3Department of Computer Science and Operations Research Université de Montréal, Pavill
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other do...
mi**想念上传1.83MB文件格式pdf 3.3 工程下载 工程完成之后,就可以下载到屏里面运行。这里我们学习使用 U 盘方式下载工程。 将U盘插到电脑上。 电脑识别U盘之后。点击工具条中的下载按钮 (或按F5),打开“下载配置”窗口。 点击“制作U盘综合功能包”。如图3.3.1所示。
Despite these successes, ConvNets were largely forsaken by the mainstream computer-vision and machine-learning communities until the ImageNet competition in 2012. When deep convolutional networks were applied to a data set of about a million images from the web that contained 1,000 different classes...
we argue that these contextual cues should be used as part of deep learning (an approach that is able to extract spatio-temporal features automatically) to gain further process understanding of Earth system science problems, improving the predictive ability of seasonal forecasting and modelling of lon...
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual ob
nature-deep learning Title:Deep learning Authors:Yann LeCun Yoshua Bengio & Geoffrey Hinton doi:10.1038/nature14539 1. 概述 使用多处理层学习数据不同层次的抽象表示,在语音识别、视觉识别、目标检测,以及药物发明、基因学等领域取得了最佳的表现。使用反向传播算法更新模型参数,以学习大量数据集中的复杂结构。
它不再是简单地对图像进行模糊处理或平均,而是利用深度学习(deep learning)与光流(optical flow)技术,如同最顶尖的侦探,精准追踪并预测像素的运动轨迹,从而“创造”出介于真实图像之间的高质量合成图像。 这项创新不仅能修复传统切片(serial...
地球系统科学提供了新的机遇,挑战和方法要求,特别是在时空背景和不确定性等最新的研究重点方面(见附录1“术语定义”,更完整的词汇表参见https://developers.google.com/machine-learning/glossary/和http://www.wildml.com/deep-learning-glossary/)。 在接下来的部分中,我们将回顾地球科学背景下机器学习的发展,并...
Deep learning:深度学习 Representation learning:表征学习 Supervised learning:监督学习 Unsupervised learning:无监督学习 Objective function:目标函数,在大部分情况下等同于损失函数的意义 Backpropagation:反向传播 chain rule for derivatives:链式求导,chain rule表示链式法则 Convolutional neural networks:卷积神经网络 8 ...