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Developing code for an image classifier to recognize different species of flowers built with Pytorch, then converting it into a command-line application. The dataset contains 102 flower categories. (Python, Pytorch, PIL, Numpy, Seaborn, Matplotlib)

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csdankim/image_classifier

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Deep Learning

Image classification (102 flower categories) using Pytorch and VGG16

Project code for Udacity's Machine Learning Nanodegree program. In this project, students first develop code for an image classifier built with PyTorch, then convert it into a command line application. The image classifier to recognize different species of flowers. Dataset contains 102 flower categories.

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Developing code for an image classifier to recognize different species of flowers built with Pytorch, then converting it into a command-line application. The dataset contains 102 flower categories. (Python, Pytorch, PIL, Numpy, Seaborn, Matplotlib)

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