📚 node [[neural network]]
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⥅ related node [[cnns convolutional neural networks]]
⥅ related node [[neural networks]]
⥅ related node [[recurrent neural networks in nlp]]
⥅ related node [[rnns recurrent neural networks]]
⥅ related node [[bayesian_neural_network]]
⥅ related node [[convolutional_neural_network]]
⥅ related node [[deep_neural_network]]
⥅ related node [[depthwise_separable_convolutional_neural_network_(sepcnn)]]
⥅ related node [[feedforward_neural_network_(ffn)]]
⥅ related node [[neural_network]]
⥅ related node [[node_(neural_network)]]
⥅ related node [[recurrent_neural_network]]
⥅ related node [[unsupervised neural networks for detecting fake news]]
⥅ related node [[a mostly complete chart of neural networks]]
⥅ node [[neural_network]] pulled by Agora
📓 garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Neural_Network.md by @KGBicheno

neural network

Go back to the [[AI Glossary]]

A model that, taking inspiration from the brain, is composed of layers (at least one of which is hidden) consisting of simple connected units or neurons followed by nonlinearities.
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