Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...

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 recognition-production connection Writing by hand creates a powerful neural bridge between letter recognition and production systems in the brain that typing cannot replicate. When handwriting ...

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 ...