Android app containing an Image classifier based on transfer learning CNN using Tensorflow 1.4.1 on Stanford's Imagenet cars dataset
-
Updated
Jan 20, 2018 - Java
Android app containing an Image classifier based on transfer learning CNN using Tensorflow 1.4.1 on Stanford's Imagenet cars dataset
Deep Learning and Computer Vision application for chessboard detection and chess pieces classification.
Lightweight Android Application to classify skin diseases upto 8 common skin diseases using tensorflow-lite.
Deep learning based skin cancer detection for android devices with cloud-based inference
This is an android application that helps the blind detect currency and gives feedback by means of audio output. It was trained on Kenyan banknotes Ksh 1000, 500, 200, 100, 50.
Transfer Learning Approach for Classification and Noise Reduction on Noisy Web Data (ESWA 2018)
Skin Cancer Image Classification in android. Model in the assets folder. Had an accuracy of 73.3% still working on improving it. Going to try Hyper-Parameter tuning
We present a framework called TLF that builds a classifier for the target domain having only few labeled training records by transferring knowledge from the source domain having many labeled records. While existing methods often focus on one issue and leave the other one for the further work, TLF is capable of handling both issues simultaneously…
[TBENCH ‘23] CoviDetector: A Transfer Learning-based Semi Supervised Approach to detect Covid-19 using CXR Images
Transfer learning for semantic similarity measures based on symbolic regression
This android App can classify bird species with just click of a picture using Machine Learning and Transfer Learning. This project is an implementation for the IEEE Paper - https://ieeexplore.ieee.org/abstract/document/9573796
App runs a PyTorch model trained on ImageNet to predict the label of an image fed into it
Repo with scripts and documentation for the TMLR paper: "Towards a General Transfer Approach for Policy-Value Networks"
Sehatmandh app is created for medical purpose. it is full functioning app with machine learning model deploy in it using firebase.
Add a description, image, and links to the transfer-learning topic page so that developers can more easily learn about it.
To associate your repository with the transfer-learning topic, visit your repo's landing page and select "manage topics."