The Applications and Benefits of a PreTrained Model –– Kaggle's DogsVSCats

For image recognition tasks, using pre-trained models are great. For one, they are easier to use as they give you the architecture for "free." Additionally, they typically have better results and typically require need less training. To see a real application of this theory, I will be using Kaggle's CatVSDogs dataset in an attempt to discuss the results of using the different methods. In any machine learning project, imports are necessary.