Dear Doctor
"Machine learning techniques have been widely applied in various areas such as pattern recognition, natural language processing, and computational learning. During the past decades, machine learning has brought enormous influence on our daily life with examples including efficient web search, self-driving systems, computer vision, and optical character recognition (OCR). There are the following neural network types: Multi-Layer Perceptrons (MLP) Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN)"
Some common types of Deep Neural Networks (DNNs) include: Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTM), Autoencoders, Generative Adversarial Networks (GAN), Self-Organizing Maps (SOM)
For a more comprehensive review and detailed understanding of these deep neural network types, you can refer to this review article: “W. Samek, G. Montavon, S. Lapuschkin, C. J. Anders and K. -R. Müller, "Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications," in Proceedings of the IEEE, vol. 109, no. 3, pp. 247-278, March 2021, doi: 10.1109/JPROC.2021.3060483.”
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