COMPREHENSIVE AND COMPARATIVE ANALYSIS OF NEURAL NETWORK
MRS VIDUSHI MISHRA, SMT. MANISHA AGARWAL, Neha Puri · INTERNATIONAL JOURNAL OF COMPUTER APPLICATION · 2018
History of science has taken a great turn after the evolution of Artificial Intelligence.Whole world is taken part in Artificial Intelligence through different languages like Python, Java, R, C++, C, JavaScript, Scala, Julia, etc. Machine learning is a part of artificial intelligence that helps in training of machines for the interaction with human.Man machine interaction starts from a smallest level of neural network that is Perceptron.Perceptron is the single layer neural network which is trained using machine learning.The interconnection of different layers forms a neural network.There are different types of neural networks which are used for different purposes.The objective of the paper is to find out which neural network fits best for face recognition or natural language processing or any other task.Output with the diagram will make the decision more clear about the objective.