This month most of my time has been spent working on the machine learning project. during this project I have learnt about how a neural network, in terms of an AI, works through is layers and hidden calculations. I have also learnt about how AIs learn through a trial and error process where they go through multiple iterations of changing their internal calculations to eventually give a correct output.
As apart of the project I used a AI model called resnet18 to create an image recognition AI that can get an image a determine what is within it. The pretrained model is already able to distinguish between a variety of different objects so I had to changes its parameters in order to focus its efforts to only guess between chairs, trees and windows.
during this project I also learnt about using notebooks with jupyter lab which is a library for python and about string manipulation methods.
in the final week of the month I started the creative technology project, where we looked into using breadboards, arduino and sensors. I have experimented with using buzzers, LCD screens and lights which will help me with my project since I can use them during it.
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