Posts
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Mask R-CNN for Ship Detection & Segmentation
In this post we’ll use Mask R-CNN to build a model that takes satellite images as input and outputs a bounding box and a mask that segments each ship instance in the image.
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Exoplanet Hunting with Machine Learning and Kepler Data
In this post, our goal is to build a model that can predict the existence of an exoplanet (i.e. a planet that orbits a distant star system) given the light intensity readings from that star over time.
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Deep Reinforcement Learning - Policy Gradients - Lunar Lander
In this post we’ll build a Reinforcement Learning model using a Policy Gradient Network. We’ll use Tensorflow to build our model and use Open AI’s Gym to measure our performance against the Lunar Lander game.
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Simple Genetic Algorithm
Whether it’s building maple seed shaped drones or inventing Velcro based on burdock burrs, nature has always been a great inspiration for humans.
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