Visualization of scikit-learn Decision Trees with d3.js

  Machine-learning algorithms are often criticized for the opacity that surrounds them. It is difficult to understand how predictions are evaluated. The way in which supervised algorithms work, no matter how complex, is known. But it remains difficult to understand how one observation is predicted in one class rather than another. The inaccessibility of the … [Read more…]

Deep-learning: Rooftop type detection with Keras and TensorFlow

[version française] With the emergence of Deep Learning, Neural Networks predictive capacity looks extremely promising. This can be seen in the amazing number of theoretical works and applications in the field in the last years,  reaching precisions never observed before. The objective of the article is twofold, first we present  a new dataset of rooftop … [Read more…]