https://stats.stackexchange.com/questions/164876/tradeoff-batch-size-vs-number-of-iterations-to-train-a-neural-network It has been observed in practice that when using a larger batch there is a significant degradation in the quality of the model, as…
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…
w可以考虑从计算机的“机械性.重复性”特征去设计“低效的”算法. https://www.codeproject.com/articles/523074/webcontrols/ Online handwriting recognition using multi convolution neural networks Vietdungiitb, 13 Jan 2013 CPOL This article has been presented at The Ninth International…
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…
About this Course This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applica…
Page 1Published as a conference paper at ICLR 2017AS IMPLE BUT T OUGH - TO -B EAT B ASELINE FOR S EN -TENCE E MBEDDINGSSanjeev Arora, Yingyu Liang, Tengyu MaPrinceton University{arora,yingyul,tengyu}@cs.princeton.eduA BSTRACTThe success of neural net…
FITTING A MODEL VIA CLOSED-FORM EQUATIONS VS. GRADIENT DESCENT VS STOCHASTIC GRADIENT DESCENT VS MINI-BATCH LEARNING. WHAT IS THE DIFFERENCE? In order to explain the differences between alternative approaches to estimating the parameters of a model,…
The AlphaGo Replication Wiki 摘自:https://github.com/Rochester-NRT/RocAlphaGo/wiki/01.-Home Contents :  Home 01. Home 02. Code 03. Data 04. Neural Networks and Training 05. Supervised Policy Network (Phase I) 06. Reinforcement Policy Network (Phase II)…
HOME ABOUT CONTACT SUBSCRIBE VIA RSS   DEEP LEARNING FOR ENTERPRISE Distributed Deep Learning, Part 1: An Introduction to Distributed Training of Neural Networks Oct 3, 2016 3:00:00 AM / by Alex Black and Vyacheslav Kokorin Tweet inShare27   This pos…
CIFAR-10 Competition Winners: Interviews with Dr. Ben Graham, Phil Culliton, & Zygmunt Zając Dr. Ben Graham Dr. Ben Graham is an Assistant Professor in Statistics and Complexity at the University of Warwick. With a categorization accuracy of 0.95530…