This week, we continued our work on machine learning, beginning to move onto figuring out how to analyse photos. For this we initially used an existing dataset called FashionMNIST, which has the training photos already at the appropriate colouration and scale to speed up programming.
We began looking into the theory behind neural networks, having now coded a basic AI the week prior, and understand the theory behind it all. Later on in the week we began training the dataset using our own data instead of the included dataset, learning how to properly manipulate the images within the script ready for training.
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