Otis

Created by Blue Team for 2019 Spring Software Engineering at Elizabethtown College

Objective

Our original objective was to create an iterative, neural algorithm that could do basic pattern recognition on a variety of different datasets. As of v1.0 we have accomplished this goal!

Features

• Has an interactive shell
• Can take in data in CSV format
• Can handle non-numerical data by mapping it to integers
• Learns from supplied data
• Can be implemented in other programs (technically)
• Supports multiple inputs
• Supports multiple hidden layers
• Makes a binary assumption about data

Planned Features

• A web panel
• Support for more than one output
• Ability to store and load pre-trained networks
• Support for more data formats
• Build a better API
• Try implementing the network