NeurIPS Proceedings Search How Many Samples are Needed to Estimate a Convolutional Neural Network? Simon S Du, Yining Wang, Xiyu Zhai, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Aarti Singh Advances in Neural Information Processing Systems 31 (NeurIPS 2018) Abstract A widespread folklore for explaining the success of Convolutional Neural Networks (CNNs) is that CNNs use a more compact representation than the Fully-connected Neural Network (FNN) and thus require fewer training samples to accurately estima
NeurIPS Proceedings Search How Many Samples are Needed to Estimate a Convolutional Neural Network? Simon S Du, Yining Wang, Xiyu Zhai, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Aarti Singh Advances in Neural Information Processing Systems 31 (NeurIPS 2018) Abstract A widespread folklore for explaining the success of Convolutional Neural Networks (CNNs) is that CNNs use a more compact representation than the Fully-connected Neural Network (FNN) and thus require fewer training samples to accurately estima
Explore the Neural Programmer: a model integrating symbolic operations into neural nets to learn programs for reasoning tasks via weak supervision
One tiny mathematical tweak — replacing a step function with a smooth curve — unlocked everything we call deep learning today. Without it, neural networks
10001 ideas Studying Data Science メインナビゲーション Character-level Convolutional Networks for Text Classification を読んだ 2017年7月21日By Hiro 機械学習 , 論文 Character-level Convolutional Networks for Text Classification を読んだ
This explores whether the modular pieces that handle individual sub-tasks are interchangeable parts — can a symbolic routine and a neural network stand in for each other inside a larger reasoning pipe
Abstract page for arXiv paper 1708.05031: Neural Collaborative Filtering
Search Log In Neural Categories Eliezer Yudkowsky 10 Feb 2008 0:33 UTC 68 points In Disguised Queries , I talked about a classification task of “bleggs” and “rubes”. The typical blegg is blue, egg-shaped, furred, flexible, opaque, glows in the dark, and contains vanadium. The typical rube is red, cube-shaped, smooth, hard, translucent, unglowing, and contains palladium. For the sake of simplicity, let us forget the characteristics of flexibility/hardness and opaqueness/translucency. This
### Neural Network Classification and Dynamical Systems James L. Blue, ACMD Charles L. Wilson, Information Access & User Interfaces Division Omid Omidvar, University of the District of Columbia Neural networks can be used successfully for pattern recognition and classification on data sets of realistic size. Commercially important examples are classification of fingerprints and handprinted characters. Determining the weights, or ``training'' the network, is essentially done by minimizing some function
Pooling is a crucial aspect of Convolutional Neural Networks (CNNs), a prominent machine learning technique. It plays an essential role in the learning pro