Neural Networks and Deep Learning

Deep learning can be considered as a subset of machine learning. It is a field that is based on learning and improving on its own by examining computer algorithms. It is a collection of statistical techniques of machine learning for learning feature hierarchies that are based on artificial neural networks. So basically, deep learning is implemented with the help of deep networks, which are nothing but neural networks with multiple hidden layers. A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. Neural networks reflect the behavior of the human brain, allowing computer programs to recognize patterns and solve common problems in the fields of AI, machine learning, and deep learning.