This repository will introduce the convolutions to be implemented into a neural network for improving it's accuracy. The neural net is the computer vision model trained on the Fashion MNIST dataset. By implementing 3 convolutional layers the accuracy for the model jumps to around 97%.
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Intro to improving the accuracy of a neural network with convolutions and generating more precise predictions
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