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
Using public data, I implement different ML algorithms and techniques
Les cartes topologiques ou auto-organisatrices font partie de la famille des modèles dits à «apprentissage non supervisé», c’est-à-dire qui s’appliquent sur des données dont on connaît le domaine sur lequel porte le recueil statistique, mais pour lesquelles les connaissances a priori ne sont pas totalement organisées., les données en groupements…
This is my course project for EE404 Soft Computing
Self organizing maps (SOM) in Python3.
Ingenieria del conocimiento
Native Java implementation of a self-organizing network (SON) for clustering.
Self organizing maps
Python implementation of the unsupervised Deep Learning Algorithm SOM
Self-Organizing Maps(SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning. Using R.
Traveling Salesman Problem with Self-Organizing Maps
Solving the Traveling Salesman Problem using Self-Organizing Maps
Кластеризация вузов средствами построения карты Кохонена
Applied a self-organizing map network to cluster feature vectors extracted from ResNet-34 on the CIFAR-10 dataset. Explored different network configurations, such as one-dimensional and two-dimensional topologies, and neighborhood radius, to analyze the clustering results.
Self-organizing map
Two pattern classification problem using Radial Basis Functions (RBF) Neural Networks, with center vectors selected via self-organizing map (SOM) neural networks.
Project for Data Mining Course - Donors Segmentation
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