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
第一章 前言 机器学习(machine learning): AI 系统需要具备自己获取知识...《deep learning》学习笔记(1)——引言 http://blog.csdn.net/u011239443/article/details/77890949 人工智能(artificialintelligence, AI)已经成为一个具有众多实际应用和活跃研究课题的领域,并且正在蓬勃发展。 层次化的概念让计算机构建较...
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...
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...
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。
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。
DeepDock用几何深度学习方法,通过将结合位点表面表示为多边形网格并将配体表示为分子图,预测配体和蛋白质之间成对节点距离上的概率分布来预测小分子结合pose。 文章:Structure-based drug design with geometric deep.pdf MaSIF是源于下面2019年发表在Nature子刊的文章,文章第一次成功将几何深度学习用于基于3D surface的分...
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 is beginning to impact biological research and biomedical applications as a result of its ability to integrate vast datasets, learn arbitrarily complex relationships and incorporate existing knowledge. Already, deep learning models can predict, with varying degrees of success, how genetic va...
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 ...