Introduction

Deep learning is a new area of machine learning which has been introduced with the objective of moving machine learning closer to one of its original goals, which is Artificial Intelligence (AI). It is becoming an important AI paradigm for pattern recognition, image/video processing and fraud detection applications in finance.

Deep learning is the implementation of neural networks with more than a single hidden layer of neurons. The deep architectures vary quite considerably, with different implementations being optimized for different tasks or goals. To get familiar with neural networks, please get acquainted with the fundamentals of neural networks at http://www.analyticsvidhya.com/blog/2016/03/introduction-deep-learning-fundamentals-neural-networks/ and http://neuralnetworksanddeeplearning.com/. The deep networks use many layers of non-linear information processing that are hierarchical in nature.

The deep models are capable of extracting useful, high-level, structured representations...