In this post, deep learning neural networks are applied to the problem of predicting Bitcoin and other cryptocurrency prices. A chartist approach is taken to predict future values; the network makes predictions based on historical trends in the price and trading volume. A 1D convolutional neural network (CNN) transforms an input volume consisting of historical prices from several major cryptocurrencies into future price information.
In this post, deep learning neural networks are applied to the problem of optical character recognition (OCR) using Python and TensorFlow. This post makes use of TensorFlow and the convolutional neural network class available in the TFANN module. The full source code from this post is available here.
This post is the fifth 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
- AI Plays Path of Exile Part 5: Real-Time Obstacle and Enemy Detection using CNNs in TensorFlow
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, methods for classifying and organizing information from visual input of the game screen is discussed. I have made the source code for this project available on my GitHub. Enjoy!
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:
This post explores historical weather data from Los Angeles, California over the period of 1906 to the present using Pandas and Matplotlib. The data in the post was collected from the National Centers for Environmental Information website. An order must be placed through the website to obtain a (temporary) link to download the data.