This repository contains the essentials for building an extremely simple, down-to-earth model builder that may barely be qualified to be called as a neural network.
Here's how to get you started on copying all of the below tutorial codes. Run the below code to clone this repository onto your local computer.
git clone https://github.com/cheewoei1997/fingerspelling.git
Once you've cloned, just navigate to the folder that you have cloned and you're all set.
Softcopy for the entire assignment. Click here.
Look up on simple examples on how Python actually works using Jupyter Notebook.
- Passing Data
Work with lists, tuples, sets, and dictionaries. - Control Flow Tools
Play with if-else statements and other built-in functions. - Functions and Matrices
Passing parameters using functions and arguments. - Genetic Algorithms
Discover how these algorithms iterate until the right answer. - Ensemble Methods
We discover different ways of training a model here. - Hidden Markov Model
The model computes future sitautions without thinking of the past. - Reinforcement Learning
Putting an agent in an environment to have it find the best path.
- Dr. Lim Kian Ming
- Do Chen Hao
- Sia Chun Wai
- Avinnash A/L Mugunan
- Jacob Daniel Savurier