This session is dedicated to an introduction of (artificial) neural networks and discusses a basic network architecture for classification, the (multilayer) Feedforward Neural Network (FNN), and an unsupervised network, the AutoEncoder (AE), which can be used in a classification setting.
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This session is dedicated to an introduction of (artificial) neural networks and discusses a basic network architecture for classification, the (multilayer) feedforward neural network (FNN), and an unsupervised network, the autoencoder (AE), which can be used in a classification setting.
ICL-BMB-BiDS/BIDS10-ClassificationRegression4
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This session is dedicated to an introduction of (artificial) neural networks and discusses a basic network architecture for classification, the (multilayer) feedforward neural network (FNN), and an unsupervised network, the autoencoder (AE), which can be used in a classification setting.
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