Artificial Neural Networks – Self Organizing Map Working and Algorithm by Deeba Kannan
In this detailed lecture, I explained the working principle and algorithm of Self Organizing Maps (SOM) — a key concept in Artificial Neural Networks (ANN) and unsupervised learning. This session provides a step-by-step explanation of the Kohonen algorithm used to organize and cluster high-dimensional data.
Topics Covered:
What is a Self Organizing Map (SOM)?
Biological inspiration and Kohonen’s idea
Detailed explanation of SOM working process
SOM learning algorithm – steps and flow
Weight updates and neighborhood function
Convergence and map organization
Real-world applications of SOM in data visualization, clustering, and pattern recognition
#ArtificialNeuralNetworks #SelfOrganizingMap #SOMAlgorithm #DeebaKannan #MachineLearning #KohonenNetwork #UnsupervisedLearning #NeuralNetworks #DeepLearning #DataClustering
En esta página del sitio puede ver el video en línea Artificial Neural Networks – Self Organizing Map Working and Algorithm by Deeba Kannan de Duración hora minuto segunda en buena calidad , que subió el usuario DEEBA KANNAN 24 marzo 2024, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 2,896 veces y le gustó 30 a los espectadores. Disfruta viendo!
