Deep learning is a sub-field of ML that is based on ANNs (see Fig 2.1). Deep learning mimics the human brain and is inspired by the structure and function of the brain. The concept of deep learning is not new and has existed for a number of years. The reason for the popularity and success of deep learning in recent years is due to high powered processing units, such as GPUs, and the presence of enormous amounts of data. One of the reasons for deep neural networks (DNNs) performing better is the complex relationships among features and high-dimensional data:
One of the great things about deep learning is that it eliminates human input. It replaces the costly and inefficient effort of human beings and automates most of the extraction process from features and raw data so that it doesn't require human involvement. Before, we used to extract features ourselves to make ML algorithms...
