Leverage parallel python sprak computation based on intel deep learning architecture, bigdl to solve one shot learning on pokeman dataset by siamese network.
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Updated
Jan 1, 2019 - Python
Leverage parallel python sprak computation based on intel deep learning architecture, bigdl to solve one shot learning on pokeman dataset by siamese network.
This project is an implementation of Siamese Neural Networks
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.
Face recognition client built with React JS
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.
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.
This repo contains the code for Oneshot Learning on Omiglot dataset Using Siamese Network.
Siamese network for face recognition
Triplet loss function and One-shot learning
In 2020 I experimented with the Raspberry Pi camera to create a facial recognition system using Siamese Neural Networks.
Recursive Leasting Squares (RLS) with Neural Network for fast learning
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