Artificial Neural Networks: From Human to Machine

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The brain inside our head is the most complex machine. And neurons are the power house of human brain. It helps our brain to learn, adapt and apply knowledge. Which makes human brain the most advanced natural processing system. Have you ever thought, what if we can use the same techniques of our brain in a machine?

When the word “Neural” is heard first thing come to my mind is neurons in the brain which is a part of decision-making process. Human brain has neurons that help in adaptability, learning ability & to solve any problem. Unlike Human brain, computer scientists dreamt for computers to solve the perceptual problems that fast. Then they will develop their selves along with time. This is called as “Machine Learning” and hence, ANN model came into existence. Artificial Neural Networks is nothing but a biologically inspired computational model that consists of processing elements (neurons) and connections between them, as well as of training and recall algorithms. An artificial neural network consists of artificial neurons or processing elements and is organized in three interconnected layers: input, hidden that may include more than one layer, and output.


Following are the types of Neural Networks:

  •         Feed-forward and neural network
  •          Radial basis function (RBF) network
  •          Kohonen self-organizing network
  •          Learning vector quantization
  •          Recurrent neural network
  •          Modular neural networks
  •          Physical neural networks
  •          Other types of networks


Now a days, neural networks are being used for a wide variety of applications like game-playing and decision making, pattern recognition, medical diagnosis, finance, data mining, visualization, machine translation, social network filtering, Cancer Diagnosis etc.

Nonetheless, AI, Machine Learning & Deep Learning all together has made enormous enhancements in recent years with advancement in Machines & Technologies. Additionally, advanced research in the field of AI and Neuromorphic computing has made us ever so closer in achieving a flawless neural network which can act like an Artificial General Intelligence.

“I think the brain is essentially a computer and consciousness is like a computer program. It will cease to run when the computer is turned off. Theoretically, it could be re-created on a neural network, but that would be very difficult, as it would require all one's memories - Stephen Hawking”

For more details please visit the website: https://machinelearning.conferenceseries.com/
Contact Person: Amelia Smith
Email Id: machinelearning@enggconferences.com 

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