Between the two more topics I would like to introduce: Neural Networks and Deep Learning, I choose to start with Neural Networks since you need some basics of knowledge of Neural Network as a prerequisite for Deep Learning.
In the heart of machine learning is Artificial Neural Network. This is simply a machine learning approach of mimicking the working of the human brain. This is such that attempts are made to deduce the mathematical representation of the way the human brain processes information.
A Neural Network is a network of nodes and edges where the nodes are called Neurons. A neuron is a single processing unit and has an input and an output. The input and output of a neuron are connected to other neurons as well, to form a network. However the arrangement of the connection are arranged in a layered form as shown in the Figure 3.
Figure 3: Structure of a Neural Network
What is a Perceptron? A Perceptron is also a neural network but with just one neuron! Read more on Perceptrons |