One Shot Learning Implementation
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Updated
Jul 27, 2020 - Jupyter Notebook
One Shot Learning Implementation
A deep learning based application which is entitled to help the visually impaired people. The application automatically generates the textual description of what's happening in front of the camera and conveys it to person through audio. It is capable of recognising faces and tell user whether a known person is standing in front of him or not.
This project is an implementation of Siamese Neural Networks
Using Recursive Leasting Squares (RLS) with Neural Network for one-shot learning
This repo contains the code for Oneshot Learning on Omiglot dataset Using Siamese Network.
Siamese network for face recognition
A deep learning based application which is entitled to help the visually impaired people. The application automatically generates the textual description of what's happening in front of the camera and conveys it to person through audio. It is capable of recognising faces and tell user whether a known person is present in front of him or not.
i have build an app on flask & its working on localhost or laptop only. its not possible to open camera on client side with (OpenCV, Face Recognition using Flask) . So im looking for code( javascript.) which capture faces from server side.
Leverage parallel python sprak computation based on intel deep learning architecture, bigdl to solve one shot learning on pokeman dataset by siamese network.
Triplet loss function and One-shot learning
Face recognition client built with React JS
In 2020 I experimented with the Raspberry Pi camera to create a facial recognition system using Siamese Neural Networks.
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