Convolutional Neural Network

What is Neural Network ?

• Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of Machine Learning and are at the heart of Deep Learning algorithms. 

•  Their name and structure are inspired by the human brain, mimicking the way that biological neurons signal to one another.  

• Neural networks are parallel computing devices, which are basically an attempt to make a computer model of the brain. 

• The main objective is to develop a system to perform various computational tasks faster than the traditional system. 

Classification of CNN :-

• Yann LeCun is the pioneer of convolutional neural networks. He built the first CNN called LeNet in 1998.  

• Convolutional neural network (CNN) are designed to process data through multiple layers of array.

• This type of neural network is used in application like image recognition or face recognition.

• CNN take input as a two dimensional array and operates  directly o image  on the image rather than focusing on features extraction which other neural networks focus on.