Domain adaptation networks for digit recognitioning
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Updated
Oct 6, 2017 - Jupyter Notebook
Domain adaptation networks for digit recognitioning
A comparative study between 5 different binary classification techniques.
MACHINE LEARNING | Android Camera application to classify images
Pre-trained VGG-Net Model for image classification using tensorflow
Retrain a pre-trained Neural Network to recognize Images
HaarCascade simple example
Make image classification of the concrete, whether it is crack or not. Image Classification
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Service in Node JS to classify images
Usable code for testing the LFA. The LFA (Lung Finder Algorithm) is a new technique proposed for the normalization of the region of interest (the lungs) in chest radiographs.
Computer vision : Object detection from image and cropping object images
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An image classifier that detects and highlights deforestation areas using k-nearest neighbors.
This is an example Convolutional Neural Network ML model as a solution for various Classification use cases!
This project aims to apply three digital signal and image classification management techniques: Mono-Dimensional signal classification, Bi-Dimensional signal classification and the development of a Deep Convolutional GAN.
A Python package for Remote Sensing Data Analysis
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