Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Artificial neural network

Known as: Computational network, Neural networks (computer), Aritificial Neuron Network 
Neural Networks (also referred to as connectionist systems) are a computational approach which is based on a large collection of neural units loosely… Expand
Wikipedia

Related topics

Related topics

50 relations
Action selectionAdaptive neuro fuzzy inference systemAlgorithmic tradingAnalog signal
Expand

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
A Survey on Network Embedding
Network embedding assigns nodes in a network to low-dimensional representations and effectively preserves the network structure… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Review
2018
Review
2018
Neuro-Inspired Computing With Emerging Nonvolatile Memorys
  • Shimeng Yu
  • Proceedings of the IEEE
  • 2018
    • Corpus ID: 19152264
This comprehensive review summarizes state of the art, challenges, and prospects of the neuro-inspired computing with emerging… Expand
  • figure 1
  • table 1
  • figure 2
  • table 2
  • figure 3
Is this relevant?
Review
2018
Review
2018
Quantizing deep convolutional networks for efficient inference: A whitepaper
We present an overview of techniques for quantizing convolutional neural networks for inference with integer weights and… Expand
  • figure 1
  • figure 2
  • table 1
  • table 2
  • table 3
Is this relevant?
Review
2018
Review
2018
Deep Learning Applications in Medical Image Analysis
The tremendous success of machine learning algorithms at image recognition tasks in recent years intersects with a time of… Expand
Is this relevant?
Review
2018
Review
2018
Continual Lifelong Learning with Neural Networks: A Review
Humans and animals have the ability to continually acquire, fine-tune, and transfer knowledge and skills throughout their… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Review
2018
Review
2018
Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
The prediction accuracy has been the long-lasting and sole standard for comparing the performance of different image… Expand
  • table 1
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Review
2018
Review
2018
Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning
There has recently been a surge of work in explanatory artificial intelligence (XAI). This research area tackles the important… Expand
  • table I
  • table II
Is this relevant?
Review
2018
Review
2018
An Introduction to Neural Information Retrieval
Neural models have been employed in many Information Retrieval scenarios, including ad-hoc retrieval, recommender systems, multi… Expand
  • figure 1.1
  • figure 2.1
  • figure 2.2
  • table 2.1
  • figure 2.3
Is this relevant?
Review
2018
Review
2018
RGB-D-based Human Motion Recognition with Deep Learning: A Survey
Human motion recognition is one of the most important branches of human-centered research activities. In recent years, motion… Expand
  • figure 1
  • table 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Review
2018
Review
2018
A Tutorial on Thompson Sampling
Thompson sampling is an algorithm for online decision problems where actions are taken sequentially in a manner that must balance… Expand
Is this relevant?
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE