[论文阅读]中文版-deeplearning.pdf,[论⽂阅读]中⽂版-deeplearning 深度学习 - LeCun、Bengio 和 Hinton 的联合综述 时间:20 19年6⽉10 ⽇10:11:47 - 20 19年6⽉12 ⽇10:4 1:17 难度 :简单,⼊门 编号 :1 进度 :1/2 23/52 ⽅向:深度学习,计算机视觉
the basic architectures of Deep Learning model(including CNN, RNN, LSTM) and how deep learning can be applied to image and speech recognition issues. The following papers will take you in-depth understanding of the Deep Learning method, Deep Learning in different areas of application and ...
The Unreasonable Effectiveness of Deep Learningby Yann LeCun Deep Learning of Representationsby Yoshua bengio Principles of Hierarchical Temporal Memoryby Jeff Hawkins Machine Learning Discussion Group - Deep Learning w/ Stanford AI Lab1by Adam Coates Making Sense of the World with Deep Learning1By Ad...
Higher- level features and concepts are thus defined in terms of lower-level ones, and such a hierarchy of features is called a deep architecture. Most of these models are based on unsupervised learning of representations.” •(Wikipedia on “Deep Learning” around March 2012.) Definition 3:...
Deep Learning of Representationsby Yoshua bengio Principles of Hierarchical Temporal Memoryby Jeff Hawkins Machine Learning Discussion Group - Deep Learning w/ Stanford AI Lab1by Adam Coates Making Sense of the World with Deep Learning1By Adam Coates ...
Deep Learning learns the representation 6 Outline • Introduction to Deep Learning • Introduction to Rein ment Learning (RL) • Value-Based Deep RL • -Based Deep RL • Other Deep RL Extensions • Deep RL Applications 7 Deep Representations • A deep representation is a composition ...
learning, which involves a hierarchy of features or concepts where higher-level representations of them are defined from lower-level ones and where the same lower-level representations help to define higher-level ones. In Chapter 2, a brief historical account of deep learning is presented. In ...
Moreover, in the case of highly varying functions, learning algorithms entirely based on local generalization are severely impacted by the curse of dimensionality [2]. Deep architectures address this issue with the use of distributed representations and as such may constitute a tractable alternative. ...
Bengio, “Equilibrated adaptive learning rates for non-convex optimization,” Adv. Neural Inf. Process. Syst., vol. 2015-Janua, pp. 1504–1512, 2015.[130] Y. Bengio, “Deep learning of representations: Looking forward,” in International Conference on Statistical Language and Speech Processing,...
reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and ...