jatinshah/ufldl_tutorial

This tutorial helps machine learning practitioners understand the foundational concepts of unsupervised feature learning and deep learning. It demonstrates how to train models like sparse autoencoders and softmax regressors using image datasets such as MNIST and STL-10. You'll input raw image data and learn to extract meaningful features and classify images.

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