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This GitHub repository contains the source code for the Udacity course "AI Programming with Python Nanodegree Program." Here, I utilize a pre-trained image classifier to identify dog breeds and create a Python application. The application is designed to train an image classifier on a dataset and predict labels for new images using the trained mode.
Developers of all skill levels get hands on with machine learning through a cloud based 3D racing simulator, fully autonomous 1/18th scale race car driven by reinforcement learning, and global racing league.
Project code for Udacity's AI Programming with Python Nanodegree program: In this project, I developed code for an image classifier built with PyTorch, then converted it into a command line application.
Determine how well the "best" classification algorithm works on correctly identifying a dog's breed. If you are confused by the term image classifier look at it simply as a tool that has an input and an output. The Input is an image. The output determines what the image depicts. (for example, a dog).