If you have come across machines recognising your face and voice among millions of images and wonder how is that possible, it is all to the credit of neural networks and deep learning. Neural networks are the algorithms that leverage the unique character of the human mind which thinks of possibilities. This characteristic is nothing but fuzzy logic, invented by Lotfi Zadeh. It resembles human reasoning and has inspired AI researchers to develop neural network algorithms. While machine learning algorithms take decisions according to the data they are fed, neural networks are designed to follow a path to decide for themselves.

The different types of neural networks in deep learning, such as convolutional neural networks (CNN), recurrent neural networks (RNN), artificial neural networks (ANN), etc. are changing the way we interact with the world. These different types of neural networks are at the core of the deep learning revolution, powering applications like unmanned aerial vehicles, self-driving cars, speech recognition, etc.