“Artificial neural networks (ANNs) are biologically inspired computing code with number of simple, highly interconnected processing elements for simulating human brain workings to process information model”.
Conceptually artificial neural networks is inspired by neural networks in the brain but actual implementation in machine learning are way far from reality. Take in multiple inputs, and produce a single output.
Generative Adversarial Networks (GANs) – Combination of two neural networks which is a very effective generative model network, works simply opposite to others. The other neural network models take usually complex input and output is simple but in GANs it’s just opposite. GANs are a very young family member of […]
Artificial Neural Networks – As the name suggest “Neural Network”, they are inspired by the human brain system. As ANNs were originally designed with biological neurons as a reference point thus sometimes they are called as a brain model for computers. It’s more of a framework than an […]
So for responding to 2 main questions. 1. Where do all these AI trends fit into the FinTech & finance industry? 2. How machine learning algorithm will transform financial technology services?