AIlib

A simple ConvNet (with SGD) library.

Installation

1. git clone https://github.com/E-Almqvist/ailib.git
2. Import it in your project and that is it.

Usage

from ailib import ai

my_neural_network = ai.neural_network() # Create an object for your network
my_neural_network.generateLayers( [1, 1] ) # Generate 1 input neuron and 1 output neuron.

my_neural_network.think( [0.2] ) # Make the AI "think" about "0.2" and it will give out 1 output.

# This network does not really do anything usefull. 

See example.py for a better example.

Features

(Checked boxes are implemented features and unchecked has not been implemented yet.)

Neural Networks

• Thinking
  • Generating neural matrix
  • Prediction
• Learning
  • Stochastic gradient descent (SGD)
  • Support for custom data feeding
  • Relative learning rate
• Support for networks of (neural) networks
  • Input/Output passthrough
• Support for loading trained networks

Other planned features

• Cool debug colors
• Multicore processing