目录 问题 假设和重要结果 证明 注 Laurent T, Von Brecht J H. Deep linear networks with arbitrary loss: All local minima are global[C]. international conference on machine learning, 2018: 2902-2907. 问题 这篇文章是关于深度学习的一些理论分析. 假设这么一个网络: \[\hat{y}^{(i)}=W_LW_{L-1}\cdots W…
Must Know Tips/Tricks in Deep Neural Networks (by Xiu-Shen Wei) Deep Neural Networks, especially Convolutional Neural Networks (CNN), allows computational models that are composed of multiple processing layers to learn representations of data with…
http://lamda.nju.edu.cn/weixs/project/CNNTricks/CNNTricks.html Deep Neural Networks, especially Convolutional Neural Networks (CNN), allows computational models that are composed of multiple processing layers to learn representations of data with mul…
Training (deep) Neural Networks Part: 1 Nowadays training deep learning models have become extremely easy with high-quality libraries such as Torch and Theano. These libraries are really helpful for rapidly prototyping deep learning models even witho…
About this Course This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good res…
http://handong1587.github.io/deep_learning/2015/10/09/training-dnn.html //转载于 Training Deep Neural Networks Published: 09 Oct 2015 Category: deep_learning Tutorials Popular Training Approaches of DNNs — A Quick Overview https://medium.com/@asjad/p…
Introduction to Deep Neural Networks Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling or clustering raw…
Classifying plankton with deep neural networks The National Data Science Bowl, a data science competition where the goal was to classify images of plankton, has just ended. I participated with six other members of my research lab, the Reservoir lab o…
声明:所有内容来自coursera,作为个人学习笔记记录在这里. Initialization Welcome to the first assignment of "Improving Deep Neural Networks". Training your neural network requires specifying an initial value of the weights. A well chosen initialization method will help…
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan[‡] & Andrew Zisserman[§] Visual Geometry Group, Department of Engineering Science, University of Oxford {karen,az}@robots.ox.ac.uk 用于大规模图像识别的深度卷积网络 Karen Simonyan[‡] &am…
大师Geoff Hinton关于Deep Neural Networks的建议 Note: This covers suggestions from Geoff Hinton's talk given at UBC which was recorded May 30, 2013. It does not cover bleeding edge techniques. 主要分为如下几点展开: Have a Deep Network. 1-2个hidden layers被认为是一个shallow n…
On Explainability of Deep Neural Networks « Learning F# Functional Data Structures and Algorithms is Out! On Explainability of Deep Neural Networks During a discussion yesterday with software architect extraordinaire David Lazar regarding how every…
Deep Neural Networks are the more computationally powerful cousins to regular neural networks. Learn exactly what DNNs are and why they are the hottest topic in machine learning research. The term deep neural network can have several meanings, but on…
Very Deep Convolutional Networks for Large-Scale Image Recognition 转载请注明:http://blog.csdn.net/stdcoutzyx/article/details/39736509 这篇论文是今年9月份的论文[1],比較新,当中的观点感觉对卷积神经网络的參数调整大有指导作用,特总结之.关于卷积神经网络(Convolutional Neural Network, CNN),笔者后会作文阐述之,读者若心急则或可用谷歌百度一…
Understanding, generalisation, and transfer learning in deep neural networks FEBRUARY 27, 2017 This is the first in a series of posts looking at the ‘top 100 awesome deep learning papers.’ Deviating from the normal one-paper-per-day format, I’ll ta…
Deep Neural Network - Application Congratulations! Welcome to the fourth programming exercise of the deep learning specialization. You will now use everything you have learned to build a deep neural network that classifies cat vs. non-cat images. In…
Why are Eight Bits Enough for Deep Neural Networks? Deep learning is a very weird technology. It evolved over decades on a very different track than the mainstream of AI, kept alive by the efforts of a handful of believers. When I started using it a…
Imagine you're an engineer who has been asked to design a computer from scratch. One day you're working away in your office, designing logical circuits, setting out AND gates, OR gates, and so on, when your boss walks in with bad news. The customer h…
目录 概 主要内容 LSGD Box 初始化 Box for Resnet 代码 Cyr E C, Gulian M, Patel R G, et al. Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint.[J]. arXiv: Learning, 2019. @article{cyr2019robust, title={Robust Training and Initi…
Spatial pyramid pooling in deep convolutional networks for visual recognition 作者: Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun 引用: He, Kaiming, et al. "Spatial pyramid pooling in deep convolutional networks for visual recognition." IEEE…
Scalable Object Detection using Deep Neural Networks 作者: Dumitru Erhan, Christian Szegedy, Alexander Toshev, and Dragomir Anguelov 引用: Erhan, Dumitru, et al. "Scalable object detection using deep neural networks." Proceedings of the IEEE Confere…
