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Hello all, welcome to our deep learning and computer vision class, where you'll learn the fundamentals of how neural networks work and how they can be applied to real-world problems like image recognition.
Today we're going to be looking at the MNIST fashion dataset, which is a set of images of fashion products taken from a certain angle. We'll learn how to train a neural network to recognize these products and what data it needs in order to do so. We'll also look at how we can use this knowledge to create an application that recognizes fashion products on its own!

Link to Fashion MNIST Dataset:
https://github.com/zalandoresearch/fashion-mnist
Link to project file and exercise sheet: https://github.com/AammarTufail/DeepLearningWithTensorflow/blob/a002158bd5f51589527482728a38117470c9491f/Assignment_002.ipynb
Computer Vision in Python (Playlist):
https://youtube.com/playlist?list=PL9XvIvvVL50GKoKrluZ1A96Bsuw8qC-3r


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