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.
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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