babel_brain is a neural network using a genetic algorithm

Supervised learning using a neural network WIP: implement a genetric algorithm for machine learning optimization

• Learns from 2 input files (one english, one spanish)
• Uses letter-weighting to guess the language of an input sentence.

program flow: file contents

main.py

• creates an instance of the babelbrain.Bot object
• trains
• prompts to save data (node activation weights)

babelbrain.py

• an object with methods to train & guess

fitness.py

• feedforward
• cost function
• predict

genetic.py

• genetic algo
• needs to be integrated with this project

datamodel.py

• feature extraction
• random init for weights
• normalization

persistence.py

• read/write file
• create json

features - data points for each training example phrase

• num of words
• average word length
• frequency of letters: occurance frequency for each char in the ascii alphabet