神经网络与深度学习 邱锡鹏 复旦大学

从人工智能开始  让机器具有人类的智能  机器感知（计算机视觉、语音 信息处理）  学习（模式识别、机器学习、 强化学习）  语言（自然语言处理）  记忆（知识表示）  决策（规划、数据挖掘

深度学习调参总结（英文版）

Disclaimer: weakly coupled topics, so may be a little chaotic, short summaries of interesting problems, my random thoughts on those problems, A rough plan of this presentation: learning schedulers, batch size optimizers ZeroInit mixup, label smoothing etc

matlab机器学习官方ppt

机器学习教计算机执行人和动物与生俱来的活动：从经验中学习。 机器学习算法使用计算方法直接从数据中“学习”信息，而不依赖 于预定方程模型。当可用于学习的样本数量增加时，这些算法可自 适应提高性能。

matlab2017b神经网络使用手册（英文）.pdf

方便掌握更新matlab2017b神经网络部分。The software described in this document is furnished under a license agreement. The software may be used or copied only under the terms of the license agreement. No part of this manual may be photocopied or reproduced in any form without prior written consent from The MathWorks, Inc. FEDERAL ACQUISITION: This provision applies to all acquisitions of the Program and Documentation by, for, or through the federal government of the United States. By accepting delivery of the Program or Documentation, the government hereby agrees that this software or documentation qualifies as commercial computer software or commercial computer software documentation as such terms are used or defined in FAR 12.212, DFARS Part 227.72, and DFARS 252.227-7014. Accordingly, the terms and conditions of this Agreement and only those rights specified in this Agreement, shall pertain to and govern the use, modification, reproduction, release, performance, display, and disclosure of the Program and Documentation by the federal government (or other entity acquiring for or through the federal government) and shall supersede any conflicting contractual terms or conditions. If this License fails to meet the government's needs or is inconsistent in any respect with federal procurement law, the government agrees to return the Program and Documentation, unused, to The MathWorks, Inc.