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
Self organizing maps (SOM) in Python3.
Modified versions of Self organizing map and Learning vector quantization
Lab exercise for Neural Networks study. Includes Self-Organizing map, Hopfield network and Back-Propagation network
Use Deep Learning Methods to analyze gene based microarray data to make classifcations on diseases, especially cancers, where the model is going to identify cancer stages for different cancers.
Python implementation of the unsupervised Deep Learning Algorithm SOM
Traveling Salesman Problem with Self-Organizing Maps
Solving the Traveling Salesman Problem using Self-Organizing Maps
Кластеризация вузов средствами построения карты Кохонена
A simulation of kohonen self organizing map with neural weights and robotic arm
Providing a visual representation of the impact of greenhouse gases on temperatures around the world using unsupervised learning through clustering by self-organizing maps.
A self organizing feature map for making colors in order
Our term project for Machine Intelligence and Expert Systems Assignments (EC60091) Autumn 2020 at IIT Kharagpur.
This code aims to generate KPIs and graphs for clustering geographical locations based on online shopping orders using a novel framework to optimise delivery using SOM.
What's your data shaped like, huh? Fits customized self-organizing maps to any data (yes, literally any data). Identifies hidden patterns, clusters, serves as a stepping stone for active learning...and so much more!
Collection of different approximation methods for solving the Traveling Salesman Problem (TSP) implemented in python
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