In the last decade, with the discovery of deep learning, the field of image classification has experienced a renaissance. Traditional machine learning methods have been replaced by newer and more powerful deep learning algorithms, such as the convolutional neural network. However, to truly understand and appreciate deep learning, we must know why does it succeed where the other methods fail. In this article, we try to answer some of those questions, by applying various classification algorithms on the Fashion MNIST dataset.

#convolution-neural-net #image-classification #data-science #machine-learning