Project code for Udacity's AI Programming with Python Nanodegree program. In this project, students first develop code for an image classifier built with PyTorch, then convert it into a command line application.
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Python script for a command line app to build and train a neural network using either VGG19 or AlexNet architecture. The app classifies images into 102 categories of flowers, and it provides flexibility to use custom data for training, enabling users to categorize other objects as well. The implementation leverages transfer learning.
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ak586/ImageClassifier
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Python script for a command line app to build and train a neural network using either VGG19 or AlexNet architecture. The app classifies images into 102 categories of flowers, and it provides flexibility to use custom data for training, enabling users to categorize other objects as well. The implementation leverages transfer learning.
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