Sparse Characters. The work that would lead to SCNNs began in 2012, when Benjamin Graham, then at the University of Warwick, wanted to make a neural network that could recognize Chinese handwriting.

For this paper, the convolutional neural network comprised an encoder that boils down the output of the simulation to its key features, which are encoded in the model's hidden, or latent space ...

Overall, this patent presents methods and systems for efficiently storing sparse neural networks and sparse convolutional neural networks, allowing for optimized memory usage and improved performance ...

Convolutional Neural Networks for MNIST Data Using PyTorch. Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to ...

A Convolutional Neural Network (CNN) is a form of artificial intelligence that plays a key role in the AI ecosytem due to its ability to analyze and understand visual data. The need to decipher ...