Deep Learning OCR using TensorFlow and Python

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.

Continue reading “Deep Learning OCR using TensorFlow and Python”

Advertisements

PoE AI Part 5: Real-Time Obstacle and Enemy Detection using CNNs in TensorFlow

This post is the fifth part of a series on creating an AI for the game Path of Exile © (PoE).

  1. A Deep Learning Based AI for Path of Exile: A Series
  2. Calibrating a Projection Matrix for Path of Exile
  3. PoE AI Part 3: Movement and Navigation
  4. PoE AI Part 4: Real-Time Screen Capture and Plumbing
  5. 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!

Continue reading “PoE AI Part 5: Real-Time Obstacle and Enemy Detection using CNNs in TensorFlow”

Using Random Forests and Wordclouds to Visualize Feature Importance in Document Classification

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:

  • Austen
  • Dickens
  • Dostoyevsky
  • Doyle
  • Dumas
  • Stevenson
  • Stoker
  • Tolstoy
  • Twain
  • Wells

Continue reading “Using Random Forests and Wordclouds to Visualize Feature Importance in Document Classification”

A Deep Learning Based AI for Path of Exile: A Series

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. A list of posts in this series follows.

  1. A Deep Learning Based AI for Path of Exile: A Series
  2. Calibrating a Projection Matrix for Path of Exile
  3. PoE AI Part 3: Movement and Navigation
  4. PoE AI Part 4: Real-Time Screen Capture and Plumbing
  5. AI Plays Path of Exile Part 5: Real-Time Obstacle and Enemy Detection using CNNs in TensorFlow

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”

Stock Market Prediction in Python Part 2

This post is part of a series on artificial neural networks (ANN) in TensorFlow and Python.

  1. Stock Market Prediction Using Multi-Layer Perceptrons With TensorFlow
  2. Stock Market Prediction in Python Part 2
  3. Visualizing Neural Network Performance on High-Dimensional Data
  4. Image Classification Using Convolutional Neural Networks in TensorFlow

This post revisits the problem of predicting stock prices based on historical stock data using TensorFlow that was explored in a previous post. In the previous post, stock price was predicted solely based on the date. First, the date was converted to a numerical value in LibreOffice, then the resulting integer value was read into a matrix using numpy. As stated in the post, this method was not meant to be indicative of how actual stock prediction is done. This post aims to slightly improve upon the previous model and explore new features in tensorflow and Anaconda python. The corresponding source code is available here.

Note: See a later post Visualizing Neural Network Performance on High-Dimensional Data for code to help visualize neural network learning and performance.

Continue reading “Stock Market Prediction in Python Part 2”