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- A Gentle Introduction to Backpropagation is an article authored by Shashi Sathyanarayana which explains the algorithm which forms the backbone of most of deep learning.
- NMNIST.zip is a link to a compressed file containing a modified version of the famous MNIST database of handwritten digits. The modification consists of adding a small amount of random clutter to each of the original images. The purpose is to make classification and clustering problems using this data more challenging. Four uncompressed files are provided to serve as a direct drop-in replacement of the original MNIST dataset. A readme file within the compressed archive provides more information.
- Shapes_Data (zip) is a link to a compressed file containing the "shapes dataset". Each example is a 784-dimensional vector, which when reformatted as an image has the appearance of one of 3 shapes - triangle, square or pizza. A readme file within the compressed archive provides more information.