Deep Learning and Neural Networks are extremely powerful inventions of the 21st century. They lie at the core of self-driving cars, image recognition, speech recognition and many other advanced technologies.
What Is Neural Network(NN)?
Neural Networks or Artificial Neural Networks represent the human nervous system. Our nervous system has millions of nerve cells interconnected with each other in complex fashion.
Major components of a Neuron
Dendrite
It is responsible for receiving input from other neurons through electrical impulses.
Body
The body decides inference from the signals and decide the action to be taken based on the inputs.
Axon Terminals
Axon terminals send output in the form of electrical impulses to communicate with other neurons.
ANN(Artificial Neural Network) works in a similar way and it uses three layers to work just like neurons.
Input Layer
It is responsible for receiving training observations.
Hidden Layer
This layer is responsible for the learning of complexities of collected data.
Output Layer
Output is extracted from the other two layers
Similarities Between Artificial Neural Network(ANN) & Biological Neural Network(BNN)
A neural network learns by acquiring knowledge.
The network stores knowledge within inter-neuron connection strengths. They are also known as synaptic weights.
Neural networks can perform tasks that linear programs cannot perform. They improve over time as they acquire knowledge and they don't need to be reprogrammed.
Artificial Neural Networks will play a central role in powering the fourth industrial revolution. ANN will transform the world into a truly smart world and it has applications in all spheres of technology.
