Convolutional Neural Networks
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With the help of Deep Learning Wizard, I constructed a baseline Convolutional Neural Network to get a feel of what the model is doing. Just to pick a different kind of dataset, I opted to study the QMNIST dataset, a variant of the MNIST with more documentation on how the data was collected and labelled. In summary, this dataset has a series of 120,000 images of hand-drawn digits between 0-9. The goal is to input the pixels of the image into the neural network and to predict the value of the number.