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...e direction, from the beginning to the end. These models, in contrast to [[bidirectional models]], do not possess the ability to consider information from later por ===Unidirectional Recurrent Neural Networks (RNNs)===

==Bidirectional Approaches in Machine Learning== Bidirectional approaches in machine learning refer to a class of algorithms designed to p

===Recurrent Neural Networks (RNNs)=== Unidirectional language models primarily employ [[recurrent neural networks]] (RNNs) as their underlying architecture. RNNs are designed to ha

*[[Bayesian neural network]] *[[BERT (Bidirectional Encoder Representations from Transformers)]]

| '''[[ANN]]''' || || [[Artificial neural network]] | '''[[ARNN]]''' || || [[Anticipation Recurrent Neural Network]]

|[[ImageNet Classification with Deep Convolutional Neural Networks (AlexNet)]] || 2012 || [https://proceedings.neurips.cc/paper/2012/ .../06/10 || [[arxiv:1406.2661]] || || || [[GAN]] ([[Generative Adversarial Network]]) ||