深度学习:架构、算法、应用

R. Memisevic
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引用次数: 8

摘要

本文由作者在会议上的演讲幻灯片组成。涵盖的一些主题包括:机器学习101:神经网络,反向支撑,rnn;应用程序;结构预测;无监督学习;“神经程序”;架构勘查;面向硬件友好型DL;和软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deep learning: Architectures, algorithms, applications
This article consists of a collection of slides from the author's conference presentation. Some of the topics covered include: Machine learning 101: Neural nets, backprop, RNNs; Applications; Structured prediction; Unsupervised learning; "Neural Programs"; Architecture exploration; Towards hardware-friendlier DL; and Software.
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