scikit-learn

Machine Learning on a 'Real Problem' - Part 1: Image Processing

Machine Learning on a 'Real Problem' - Part 1: Image Processing


Machine Learning On a 'Real' Problem

In this post we'll go through the process of turning a bunch of .png files into a training set and training a simple neural network. Future posts will dive into improving the model, using more advanced neural networks (convolutional NN vs. the multi-layer perceptron used here), and optimizing the model for a specific business aim (reducing false negatives at the expense of a few more false positives).