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. ANNs were originally designed with biological neurons as a reference point thus sometimes they are called a brain model for computers. It’s more of a framework than an algorithm. ANNs […]
Deep learning is a learning scheme that approaches the learning problem by learning the underlying representations; too much of learning. I thats why its also called as representation learning.
AI is today increasingly used as a wide term to describe machines that can mimic human functions such as learning and problem solving, but was originally founded on the premise that human intelligence can be precisely described, and machines made to simulate it. Technology and non technology companies are now investing and brining out the real and materialistic values of Artificial Intelligence to the real world.