Artificial Neural Networks

Welcome to our website, this is where we are dedicated to exploring Artificial Neural Networks (ANNs), an active field of research instilling computational models modeled on the human brain’s neural networks. This informational website intends to provide introductory information to anyone who wishes to gain a basic intuitive grasp of ANNs, illustrated with simple examples, and which serves as a guide to explore a bit deeper the more involved concepts. In particular, for those readers who wish to grasp how ANNs are utilized and applied in scientific literature, this platform offers articles explaining ANNs’ functionality, plus some examples in image recognition, natural language processing, financial forecasting, and many other domains where machine learning is being applied.

Please enjoy

Methods inspired by operation of the nervous system

Multi-Layer Perceptrons

A type of artificial neural network consisting of multiple layers of neurons

Gradient Descent

An optimization algorithm for finding a local minimum of a differentiable function.

Gradient Descent Convergence

using a graph of the cost function relative to the number of iterations and watch when the graph flattens out

Universal Approximation

Approximate any continuous function with enough neurons and suitable activation functions

That’s one small step for a man, a giant leap for mankind