sumanth-bmsce/Deep-Learning-Programs sumanth-bmsce/Deep-Learning-Programs

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    Python
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    MIT License
  • Created over 6 years ago
  • Updated over 6 years ago
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sumanth-bmsce/Deep-Learning-Programs
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sumanth-bmsce

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Repository Details

All the Deep Learning Python Programs that I tried out using tflearn

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1

Unsupervised_Extreme_Learning_Machine

Unsupervised Extreme Learning Machine(ELM) is a non-iterative algorithm used for feature extraction. This method is applied on the IRIS Dataset for non-linear feature extraction and clustering using k-means, Self Organizing Maps(Kohonen Network) and EM Algorithm
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Assistive-Technology-Android-Application-for-Autism-Spectrum-Disorder-Therapy

We, as a team of 4, collectively developed an Assistive Technology android application for autism children of the ASHA Foundation, Bangalore to help them develop the necessary motor skills like finger movements and language understanding under the guidance of Jayashree Ramesh, Director, ASHA Foundation and Dr. Indiramma M, Professor, CSE, BMSCE. We also attended the World Autism Day 2017, at Bal Bhavan, Cubbon Park to spread awareness about autism.
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Machine-Learning-Presentations

This repository contains all the presentations made while doing my project with Dr. Senthilnath J, PhD(IISc), currently a Research Fellow at NTU, Singapore in Machine Learning particularly Deep Learning which includes techniques like Self Organizing Maps (SOM), Unsupervised Extreme Learning Machine (US-ELM), Restricted Boltzmann Machine(RBM) and Deep Autoencoders
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