Deep Learning Architectures From Cnn, Rnn, Gan, And Transformers To Encoder-decoder Architectures

This article explores some of the most influential deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transformers, and Encoder-Decoder architectures. It highlights their unique features, applications, and how they compare against each other.