In recent years, a growing number of leading AI experts have drawn striking parallels between artificial neural networks and the human brain, suggesting that machine intelligence may not only equal ...

The rushed and uneven rollout of A.I. has created a fog in which it is tempting to conclude that there is nothing to see here ...

If you are someone who likes all sorts of adventures, like looking for past explorers while you find yourself stranded on a cold deserted island then Deep Descent is just the game for you. Here, your ...

Abstract: Training deep neural networks typically relies on gradient descent learning schemes, which is usually time-consuming, and the design of complex network architectures is often intractable. In ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

These data were aggregated from a number of sources including the American Community Survey (https://www.census.gov), https://www.clinicaltrials.gov, and https://www.cancer.gov. Significant ...

ABSTRACT: Diversity, Equity, and Inclusion (DEI) initiatives are pivotal for fostering inclusive environments and promoting equal opportunities within organizations. However, the collection and ...

In the '8_sgd_vs_gd' folder, the 'gd_and_sgd.ipynb' file, there is a logic flaw in the Stochastic Gradient Descent code, Since for SGD, it uses 1 randomly selected training example per epoch, rather ...

A new machine learning approach that draws inspiration from the way the human brain seems to model and learn about the world has proven capable of mastering a number of simple video games with ...