What characteristics do the works of famous authors have that make them unique? This post uses ensemble methods and wordclouds to explore just that.
Project Gutenberg offers a large number of freely available works from many famous authors. The dataset for this post consists of books, taken from Project Gutenberg, written by each of the following authors:
Continue reading “Using Random Forests and Wordclouds to Visualize Feature Importance in Document Classification”
This post is the forth part of a series on creating an AI for the game Path of Exile © (PoE).
- A Deep Learning Based AI for Path of Exile: A Series
- Calibrating a Projection Matrix for Path of Exile
- PoE AI Part 3: Movement and Navigation
- PoE AI Part 4: Real-Time Screen Capture and Plumbing
As discussed in the first post of this series, the AI program takes a screenshot of the game and uses it to form predictions that are then used to update its internal state. In this post, efficient methods for capturing images of the game screen are explored.
Continue reading “PoE AI Part 4: Real-time Screen Capture and Plumbing”
I compiled a short video of footage from the Path of Exile AI. All footage is of the actual AI running. The video is available below on my YouTube channel.
Stayed tuned for more posts about the Targeting System and Screen Viewer components in the next few weeks.
This post is part of a series on creating an AI for the game Path of Exile © (PoE). In this post, techniques for updating the internal representation of the world given a static image of the game are explored.
Continue reading “Calibrating a Projection Matrix for Path of Exile”
This post is the first in a series on creating an AI for the game Path of Exile based on deep learning and other machine learning techniques. The goal of the project is to create an AI that operates based on visual input, is able to navigate levels successfully, can defend itself, and of course to have fun and learn something in the process.
Continue reading “A Deep Learning Based AI for Path of Exile: A Series”
A past blog post explored using multi-layer-perceptrons (MLP) to predict stock prices using Tensorflow and Python. This post introduces another common library used for artificial neural networks (ANN) and other numerical purposes: Theano. An MLP Python class is created implemented using Theano, and then the performance of the class is compared with the TFANN class in a benchmark.
Continue reading “Multi-Layer Perceptron Networks in Theano and TensorFlow: An Implementation and Benchmark”