EXPLORATION INTO AI
2021 SEMESTER 1 PROJECT [Compsys726]Completed.
COMPSYS 726 - Robotics and Intelligent Systems aims to teach students about robot manipulators, mobile robots, navigation techniques, planning and programming of robot actions, sensors and actuators, kinematic analysis and includes topics in artificial intelligence, artificial neural nets, fuzzy systems, genetic algorithms. This project specifically focused on understanding the key elements which make up an artificial neural network. By generating the various activation functions from scratch and quantifying their performances, a better understanding of ANNs can be gained.
LAB 1 - Forward and derivative mappings of various activation functions
Photo: Activation Function Timings.
[REPORT]
Lab 2 - Writing a two-layer inference engine for an ANN
Photo: Confusion Matrix plot.
[REPORT]
lab 3 - Implementation of two gradient descent algorithms
Photo: Gradient Descent Visualized.
[REPORT]
Technical review - Is a specific morphology of an Activation Function important?
Photo: Effect of a varying learning rate on Mean Squared Error.
[REPORT]