Artificial Neural Networks (ANN)
Human brain has neurons that help in adaptability, learning ability & to solve any problem. Unlike Human brain, computer scientists dreamt for computers to solve the perceptual problems that fast. And hence, ANN model came into existence. Artificial Neural Networks is nothing but a biologically inspired computational model that consists of processing elements (neurons) and connections between them, as well as of training and recall algorithms. There are many types of Neural Networks:
- Feed-forward and neural network
- Radial basis function (RBF) network
- Kohonen self-organizing network
- Learning vector quantization
- Recurrent neural network
- Modular neural networks
- Physical neural networks
- Other types of networks
Related Conference of Artificial Neural Networks (ANN)
April 24-25, 2024
6th Annual Summit on Satellite and Space Communication Technology
Amsterdam, Netherlands
September 10-11, 2024
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
Amsterdam, Netherlands
November 25-26, 2024
10th International Conference and Expo on Computer Graphics & Animation
Vancouver, Canada
Artificial Neural Networks (ANN) Conference Speakers
Recommended Sessions
- AI & Machine Learning in HealthCare & Medical Science
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- Artificial Neural Networks (ANN)
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- Deep Learning
- Deep Learning Frameworks
- Facial Expression and Emotion Detection
- Internet of Things (IoT)
- Machine Learning
- Natural Language Processing (NLP) and Speech Recognition
- Pattern Recognition
- Predictive Analytics
- Robotic Process Automation (RPA)
- Virtual Reality And Augmented Reality
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