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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
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Related topics

Related topics

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Action selectionAdaptive neuro fuzzy inference systemAlgorithmic tradingAnalog signal
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2021
Review
2021
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
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
DeepXDE: A Deep Learning Library for Solving Differential Equations
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
A survey on Image Data Augmentation for Deep Learning
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
SURVEY ON EVOLVING DEEP LEARNING NEURAL NETWORK ARCHITECTURES
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
Solving inverse problems using data-driven models
Recent research in inverse problems seeks to develop a mathematically coherent foundation for combining data-driven models, and… Expand
Review
2019
Review
2019
Deep Learning for Audio Signal Processing
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
Review of Deep Learning Algorithms and Architectures
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
Survey on deep learning with class imbalance
The purpose of this study is to examine existing deep learning techniques for addressing class imbalanced data. Effective… Expand
Review
2019
Review
2019
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
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
A Primer on PAC-Bayesian Learning
Generalised Bayesian learning algorithms are increasingly popular in machine learning, due to their PAC generalisation properties… Expand
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