Self Organizing Maps - DLMC17

Name: Self Organizing Maps - DLMC17
Start: 2021-01-05T20:00:00+05:00
End: 2021-01-05T21:30:00+05:00

Sir Syed University of Engineering & Technology - Karachi, Pakistan

A self-organizing map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional), discretized representation of the input space of the training samples, called a map, and is, therefore, a method to do dimensionality reduction. Want to find more, join us in the workshop

Jan 5, 2021, 3:00 – 4:30 PM

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Key Themes

Machine Learning

About this event

A self-organizing map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional), discretized representation of the input space of the training samples, called a map, and is, therefore, a method to do dimensionality reduction. Want to find more, join us in the workshop 