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Neural network





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An artificial neural network is a system whose design was originally schematically inspired by the functioning of biological neurons, and which subsequently approached statistical methods.

Neural networks are generally optimized by probabilistic type learning methods, in particular Bayesian.

In machine learning, a convolutional neural network is a type of acyclic artificial neural network.

A recurrent neural network is an artificial neural network with recurrent connections.



Recurrent Neural Network

Bidirectional Recurrent Neural Networks

Hopfield neural network

Feedforward Neural Network

Convolutional Neural Network

Backpropagation neural network

Error Backpropagation

Mixture Density Networks

The formal neuron called the perceptron

The simple perceptron - The Rosenblatt Perceptron

The Artificial Neural Network or Multilayer Perceptron

Auto-Encoder Neural Network

Generative Adversarial Network (GAN)

MeshCNN

Long-Short-Term Memory Networks

Activation functions

Activation maximization

Batch Normalization


Deep learning

Machine learning












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