In recent times, with the increase of Artificial Neural Network (ANN), deep learning has brought a dramatic twist in the field of machine learning by making it more artificially intelligent. Deep ...

A parametric version of t-SNE that employs neural networks is less commonly known, yet it has demonstrated superior performance in dimensionality reduction compared to the standard implementation.

The innovative project involved running a neural network directly on a TI-84 Plus CE to recognize handwritten digits.

Handwriting detection on human and GSC datasets using linear regression and logistic regression (from scratch) and a simple neural network using tensorflow.

This paper examines the problem of parallelizing neural network training using the back-propagation neural network, as a breakthrough example in the field of deep learning. The challenge of our ...

Researchers at University of Notre Dame are developing an artificial neural network to read complex ancient handwriting based on human perception to improve capabilities of deep learning ...