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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

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2021
Review
2021
Recent advancements in perception for autonomous driving are driven by deep learning. In order to achieve robust and accurate… Expand
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Review
2020
Review
2020
Deep learning has achieved remarkable success in diverse applications; however, its use in solving partial differential equations… Expand
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Review
2019
Review
2019
Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are… Expand
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Review
2019
Review
2019
The deep learning being a subcategory of the machine learning follows the human instincts of learning by example to produce… Expand
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Review
2019
Review
2019
Recent research in inverse problems seeks to develop a mathematically coherent foundation for combining data-driven models, and… Expand
Review
2019
Review
2019
Given the recent surge in developments of deep learning, this paper provides a review of the state-of-the-art deep learning… Expand
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Review
2019
Review
2019
Deep learning (DL) is playing an increasingly important role in our lives. It has already made a huge impact in areas, such as… Expand
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Review
2019
Review
2019
The purpose of this study is to examine existing deep learning techniques for addressing class imbalanced data. Effective… Expand
Review
2019
Review
2019
In order to effectively provide ultra reliable low latency communications and pervasive connectivity for Internet of Things (IoT… Expand
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Review
2019
Review
2019
Generalised Bayesian learning algorithms are increasingly popular in machine learning, due to their PAC generalisation properties… Expand