Main Objectives: Machine Learning Applied Towards Classification, in order to approach simulation of communication systems.
Step One: Become Familiar with Python and TensorFlow Library
Step Two: Understand Data Input Types (.xls, .csv, etc)
Step Three: Understand Neural Network Structure and Machine Learning Concepts: Loss, Accuracy, Overfitting, Underfitting, Feature Optimization. Name to Gender Classification Program. (nameGuess.py)
Step Four: Create a Name to Sex Classification program.
Step Five: Introduce new methodology of co-inference to nameGuess.py (Simulated Server-Client side structure to seperate workload of a trained model across multiple devices)