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Image Classification using Transfer Learning from CNNs (VGG16, AlexNet) and a Linear Neural Network Classifier

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Image Classification using Neural Networks

Udacity AI Programming with Python Nanodegree Final Project

This application uses transfer learning from Convolutional Neural Networks (CNN) VGG and AlexNet that were trained on ImageNet. The CNNs are used as a fixed feature extractor to feed image features into a custom Linear Classifier that can be used to train any set of labeled images.

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Image Classification using Transfer Learning from CNNs (VGG16, AlexNet) and a Linear Neural Network Classifier

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