This portfolio contains projects, course, and code for my deep learning practices
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Updated
Mar 3, 2019 - Python
This portfolio contains projects, course, and code for my deep learning practices
Basic implementation of Kohonen Map using python 3 and NumPy library.
Using public data, I implement different ML algorithms and techniques
Deep learning model to detect potential frauds in credit card applications. Implemented using self organising maps
implementation of Kohonen Self Organizing Feature Map
GNG algorithm from "A Growing Neural Gas Network Learns Topologies" by Fritzke B.
This is my course project for EE404 Soft Computing
Explore emergent behavior with the help of kinetic particles to simulate early life forms, Unveiling the beauty of self-organization and adaptation!
Self organizing maps (SOM) in Python3.
Visualize a Self-Organizing Map trained on images of radio sources/galaxies from the LOFAR Two-metre Sky Survey
Deep learning tutorial with examples
College students organised on a self-organising map based on indicators related to personality traits
The report I wrote for a BSc project called "A computational framework for the investigation of large-scale brain organisation"
Lab exercise for Neural Networks study. Includes Self-Organizing map, Hopfield network and Back-Propagation network
Implementation of the SOM on the mining shafts in Poland dataset.
Using this unsupervised learning technique we will learn how to predict the Fraud Customer of a bank and also check which of the customer of this fraud list ,have been given approval by bank.
fraud detection with SOMs
Assignments of Deep Neural Networks Graduate Course - Fall 2021
Self-organizing map
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